average length of undergraduate dissertation

Frequently asked questions

How long is a dissertation.

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

Frequently asked questions: Dissertation

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

A thesis is typically written by students finishing up a bachelor’s or Master’s degree. Some educational institutions, particularly in the liberal arts, have mandatory theses, but they are often not mandatory to graduate from bachelor’s degrees. It is more common for a thesis to be a graduation requirement from a Master’s degree.

Even if not mandatory, you may want to consider writing a thesis if you:

• Plan to attend graduate school soon
• Have a particular topic you’d like to study more in-depth
• Are considering a career in research
• Would like a capstone experience to tie up your academic experience

The conclusion of your thesis or dissertation should include the following:

• A restatement of your research question
• A summary of your key arguments and/or results
• A short discussion of the implications of your research

The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.

For a stronger dissertation conclusion , avoid including:

• Important evidence or analysis that wasn’t mentioned in the discussion section and results section
• Generic concluding phrases (e.g. “In conclusion …”)
• Weak statements that undermine your argument (e.g., “There are good points on both sides of this issue.”)

Your conclusion should leave the reader with a strong, decisive impression of your work.

While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion , especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section .) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

In most styles, the title page is used purely to provide information and doesn’t include any images. Ask your supervisor if you are allowed to include an image on the title page before doing so. If you do decide to include one, make sure to check whether you need permission from the creator of the image.

Include a note directly beneath the image acknowledging where it comes from, beginning with the word “ Note .” (italicized and followed by a period). Include a citation and copyright attribution . Don’t title, number, or label the image as a figure , since it doesn’t appear in your main text.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organized by page number.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary or “glossary of terms” is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

An abbreviation is a shortened version of an existing word, such as Dr. for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like PC, USA, or DNA), then you can use the abbreviated version from the get-go.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation , you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimizing confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations that you used in your thesis or dissertation. It should appear at the beginning of your document, with items in alphabetical order, just after your table of contents .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and aren’t particularly common. They specifically aren’t required for APA-Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organized. Your educational institution may require them, so be sure to check their guidelines.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction .

You may acknowledge God in your dissertation acknowledgements , but be sure to follow academic convention by also thanking the members of academia, as well as family, colleagues, and friends who helped you.

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.

In the discussion , you explore the meaning and relevance of your research results , explaining how they fit with existing research and theory. Discuss:

• Your  interpretations : what do the results tell us?
• The  implications : why do the results matter?
• The  limitation s : what can’t the results tell us?

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter of a thesis or dissertation presents your research results concisely and objectively.

In quantitative research , for each question or hypothesis , state:

• The type of analysis used
• Relevant results in the form of descriptive and inferential statistics
• Whether or not the alternative hypothesis was supported

In qualitative research , for each question or theme, describe:

• Recurring patterns
• Significant or representative individual responses
• Relevant quotations from the data

Don’t interpret or speculate in the results chapter.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract in the table of contents.

The abstract appears on its own page in the thesis or dissertation , after the title page and acknowledgements but before the table of contents .

An abstract for a thesis or dissertation is usually around 200–300 words. There’s often a strict word limit, so make sure to check your university’s requirements.

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

The acknowledgements are generally included at the very beginning of your thesis , directly after the title page and before the abstract .

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you must acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

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How long is a Thesis or Dissertation? [the data] PhD, Masters +

Writing a thesis for your undergraduate, master’s, or PhD can be a very daunting task. Especially when you consider how long a thesis can get. However, not all theses are the same length and the expected submission length is dependent on the level of study that you are currently enrolled in and the field in which you are studying.

An undergraduate thesis is likely to be about 20 to 50 pages long. A Master’s thesis is likely to be between 30 and 100 pages in length and a PhD dissertation is likely to be between 50 and 450 pages long.

In the table below I highlight the typical length of an undergraduate, master’s, and PhD.

It is important to note that this is highly dependent on the field of study and the expectations of your university, field, and research group.

If you want to know more about how long a Masters thesis and PhD dissertation is you can check out my other articles:

• How Long is a Masters Thesis? [Your writing guide]
• How long is a PhD dissertation? [Data by field]
• How to write a masters thesis in 2 months [Easy steps to start writing]

These articles go into a lot more detail and specifics of each level of study, including master’s and doctoral degrees.

Let’s take a more detailed look at the length of a thesis or dissertation. We’ll start from the very basics including what a dissertation or thesis really is.

What exactly is a thesis or a dissertation?

A thesis or a dissertation is a research project that is typically required of students in order to gain an advanced degree.

A dissertation is usually much longer and more detailed than a thesis, but they both involve extensive research and provide an in-depth analysis of their given subject.

Many people use the term interchangeably but quite often a Masters level research project results in a thesis. While a PhD research project results in a much longer dissertation.

Thesis work is usually completed over the course of several months and can require multiple drafts and revisions before being accepted. These will be looked over by your supervisor to ensure that you are meeting the expectations and standards of your research field.

PhD Dissertations are typically even more involved, taking years to complete. My PhD took me three years to complete but it is usual for them to take more than five years.

Both a thesis and a dissertation involve researching a particular topic, formulating an argument based on evidence gathered from the research, and presenting the findings in written form for review by peers or faculty members.

My Master’s thesis was reviewed by the chemistry Department whilst my PhD thesis was sent to experts in the field around the world.

Ultimately, these experts provide a commentary on whether or not you have reached the standards required of the University for admittance into the degree and the final decision will be made upon reviewing these comments by your universities graduation committee.

There are several outcomes including:

• accepted without changes – this is where you must make no changes to your thesis and is accepted as is.
• accepted with minor changes this is where your thesis will require some minor changes before being admitted to the degree. Usually, it is not sent back to the reviewers after the thesis defence.
• Major changes – this is where the committee has decided that you need to rework a number of major themes in your thesis and will likely want to see it at a later stage.
• Rejected – this is where the dissertation or thesis is rejected and the recommendation to downgrade your degree program is made.

What is the typical length of a thesis or dissertation?

The length of a thesis or dissertation varies significantly according to the field of study and institution, especially in social sciences.

Generally, an undergraduate thesis is between 20-50 pages long while a PhD dissertation can range from 90-500 pages in length.

However, longer is not necessarily better as a highly mathematical PhD thesis with proofs may only be 50 pages long.

It also depends on the complexity of the topic being studied and the amount of research required to complete it.

A PhD dissertation should contain as many pages and words as it takes to outline the current state of your field and provide adequate background information, present your results, and provide confidence in your conclusions. A PhD dissertation will also contain figures, graphs, schematics, and other large pictorial items that can easily inflate the page count.

Here is a boxplot summary of many different fields of study and the number of pages of a typical PhD dissertation in the field, including social sciences.  It has been created by Marcus Beck  from all of the dissertations at the University of Minnesota.

Typically, the mathematical sciences, economics, and biostatistics theses and dissertations tend to be shorter because they rely on mathematical formulas to provide proof of their results rather than diagrams and long explanations.

On the other end of the scale, English, communication studies, political science, history and anthropology are often the largest theses in terms of pages and word count because of the number of words it takes to provide proof and depth of their results.

At the end of the day, it is important that your thesis gets signed off by your review committee and other experts in the field. Your supervisor will be the main judge of whether or not your dissertation is capable of satisfying the requirements of a master’s or doctoral degree in your field. 

How Many Pages Should a Master or PhD Thesis Have? Length of a thesis?

The length of a master’s thesis can vary greatly depending on the subject and format.

Generally, a masters thesis is expected to be around 100 pages long and should include:

• a title page,
• table of contents,
• introduction,
• literature review, 
• main test and body of work, 
• discussions and citations,
• conclusion,
• bibliography
• and (sometimes) appendix.

Your supervisor should provide you with a specific format for your dissertation or thesis that you are expected to follow.

Depending on your field of study and the word count specified by your supervisor, these guidelines may change. The student must ask their advisor for examples of past student thesis and doctoral dissertations. 

For example, if there is a limited number of words allowed in the thesis then it may not be possible to have 100 pages or more for the thesis.

Additionally, if you are including a lot of technical information such as diagrams or tables in the appendix of your dissertation or thesis, then this could increase the page count as well. For example, my PhD thesis contained a page like the one below.

This page only contains images from atomic force microscopy. Because my PhD was very visual, many pages like this exist.

Ultimately it is important to consult with your supervisor and determine how many pages your master’s thesis or PhD dissertation will be expected to have.

How long does it take to write a graduate thesis? Write your thesis quickly

Writing a graduate thesis can be a daunting task.

It is typically expected to take anywhere from one to three years, depending on the subject and scope of the project.

However, this is not just writing. A typical thesis or dissertation will require you to:

• formulate a research question
• do a literature review
• create research methodology
• perform original research
• collect and analyse results
• write peer-reviewed research papers
• write a PhD/masters thesis
• submit thesis and respond to examiners comments.

The actual writing component of a thesis or dissertation can take anywhere from one month to 6 months depending on how focused the PhD student is.

The amount of time it takes to write a thesis or dissertation can vary based on many factors, such as the type of research required, the length of the project, and other commitments that may interfere with progress.

Some students may have difficulty focusing or understanding their topic which can also add to the amount of time it takes to complete the project.

Regardless, writing a thesis is an important part of obtaining a graduate degree and should not be taken lightly.

It requires dedication and determination in order for one to successfully complete a thesis or dissertation within an appropriate timeframe.

In my YouTube video, below, I talk about how to finish your thesis or dissertation quickly:

It is full of a load of secrets including owning your day, managing your supervisor relationship, setting many goals, progress over perfection, and working with your own body clock to maximise productivity.

Wrapping up

This article has been through everything you need to know about the typical length of a dissertation or thesis.

The answer to this question is highly dependent on your field of study and the expectations of your supervisor and university.

Frequently Asked Questions: How Long is a Thesis

How long is a thesis.

A thesis is typically a document submitted in support of an academic degree, presenting the author’s research and findings. The length of a thesis can vary depending on the level of study and specific requirements of the institution. It can range from 60 – 100 pages for a master’s thesis to several hundred pages for a doctoral dissertation.

What is the difference between a thesis and a dissertation?

While the terms thesis and dissertation are often used interchangeably, they can have different meanings depending on the region or academic context. In some countries, a thesis is associated with a bachelor’s or master’s degree, while a dissertation is typically required for a doctoral degree.

Is there a specific word count for a thesis?

While there is no universal word count for a thesis , institutions may provide guidelines on the expected length based on the type of degree and academic discipline. It’s essential to adhere to the specified word count to meet academic standards.

How does the length of a thesis vary across different fields of study?

The length of a thesis can differ based on the field of study and the nature of the research being conducted. For example, a thesis in the social sciences may be shorter compared to one in a scientific or technical field that requires extensive data analysis and documentation.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

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The Standard Span of Undergraduate Theses: Length Expectations Explained

The Standard Span of Undergraduate Theses: Length Expectations Explained delves into the various factors that influence the length of undergraduate theses. This article aims to demystify the expectations and provide clarity on what constitutes an appropriately sized thesis, considering disciplinary norms, research depth, and institutional guidelines. Understanding these variables is crucial for students embarking on their thesis journey, ensuring they meet academic standards while effectively communicating their research findings.

Key Takeaways

• Undergraduate thesis length varies by discipline, with science and engineering often requiring concise reports and humanities allowing for more extensive analysis.
• The depth and complexity of research, along with the need for thoroughness and conciseness, play a significant role in determining the length of a thesis.
• Structural components such as essential elements, supplementary sections, and formatting standards directly impact the overall length of a thesis.
• Institutions provide specific guidelines regarding average page and word counts, as well as minimum and maximum length thresholds for theses.
• Quality of content is paramount; students should focus on critical analysis and argumentation rather than merely meeting length requirements.

Defining the Scope of Undergraduate Theses

Disciplinary variations in length.

The length of your undergraduate thesis can vary significantly depending on your field of study. Humanities and social sciences theses often emphasize depth of argumentation and literature analysis, which may result in longer texts. In contrast, theses in the sciences and engineering may be shorter but denser with technical information and data.

For example, a thesis in literature might delve into thematic analysis and historical context, requiring extensive discussion and supporting evidence. This could lead to a document that is lengthy due to the nature of its content. On the other hand, a computer science thesis might be more concise, focusing on algorithms, code, and empirical results.

To illustrate the variations, consider the following general guidelines for thesis length by discipline:

• Humanities: 80-100 pages
• Social Sciences: 60-80 pages
• Natural Sciences: 40-60 pages
• Engineering: 30-50 pages

These are not strict rules but rather common patterns observed across universities. Your department may have specific requirements, so it's crucial to consult your advisor and review departmental guidelines early in the thesis process.

The Role of Research Depth and Complexity

The depth and complexity of your research are pivotal in determining the length of your undergraduate thesis. Complex topics often require extensive literature reviews, elaborate methodologies, and detailed analysis , which naturally extend the length of your document. Conversely, a more straightforward research question might lead to a concise thesis, as it may necessitate fewer pages to articulate findings and conclusions.

The choice between qualitative and quantitative research methods also influences the length. Qualitative studies, with their emphasis on detailed descriptions and interpretations, can lead to lengthier discussions. Quantitative research, while potentially involving complex statistical analysis, often results in more succinct data presentation. Below is a list of factors that contribute to the research depth and complexity:

• The nature of the research question
• The chosen methodology (qualitative vs. quantitative)
• The scope of the literature review
• The extent of data collection and analysis

In your journey, you will learn to balance the need for thorough exploration of your topic with the academic virtue of conciseness. Your ability to distill complex ideas into clear, precise language is a valuable skill that will serve you well beyond the confines of your thesis. Remember, a well-crafted thesis is not merely about the number of pages but the quality and clarity of the research presented within them.

Balancing Thoroughness with Conciseness

In the pursuit of academic excellence, you must navigate the delicate balance between being thorough and being concise. Your undergraduate thesis should be comprehensive enough to cover the necessary ground, yet succinct enough to maintain the reader's engagement. Striking this balance is crucial for the effectiveness of your work.

To achieve this, consider the following strategies:

• Trim Redundant Phrases : Eliminate phrases that do not add value to your argument.
• Simplify Complex Sentences : Break down complex ideas to improve readability.
• Use Active Voice : Active constructions tend to be more direct and concise.

Remember, the goal is to convey your research findings and arguments in a manner that is both detailed and direct. By applying these strategies, you can enhance the clarity of your thesis without sacrificing depth. It's also essential to seek feedback, as third-party insights can help you identify areas where you can be more succinct or where additional detail may be necessary.

Structural Components and Their Impact on Length

Essential elements of a thesis.

When you embark on the journey of writing your undergraduate thesis, understanding the essential elements is crucial. Your thesis should begin with an introduction , setting the stage for your research question and establishing the context of your study. Following this, a review of existing research, often referred to as the literature review, provides a foundation upon which your work will build.

The methodology section details your research approach, ensuring that your study can be replicated and verified. This is followed by the findings or results, where you present the data you've collected. Finally, the conclusion ties together your research, offering insights and implications of your study. Each of these components plays a pivotal role in the overall structure and depth of your thesis.

To familiarize yourself with the structure , consider reviewing past theses from your institution or field of study. This will not only give you a clearer picture of what is expected but also inspire your own research design. Remember, while the structure may vary based on your discipline, the core elements remain consistent across the board.

Supplementary Sections and Appendices

Beyond the core chapters of your thesis, supplementary sections and appendices play a crucial role in supporting your research. These additional parts provide a space for extensive datasets, detailed methodologies, and other pertinent information that is auxiliary to the main text. Appendices ensure your thesis remains uncluttered , while still offering comprehensive insight into your work.

The inclusion of supplementary material varies significantly across disciplines and individual projects. Typically, you might include raw data, additional figures, questionnaires, or extended literature reviews. Here's a list of common supplementary sections you might consider:

• Raw data and statistics
• Extended literature review
• Copies of instruments used
• Ethical approval documents
• Detailed methodological procedures

Always adhere to your institution's guidelines when organizing these sections. Remember, the goal is to enhance the reader's understanding without overwhelming them with excessive detail. The supplementary material should complement the core arguments of your thesis, not detract from them.

Formatting Standards and Their Effects

The formatting of your undergraduate thesis can significantly influence its length. Font type and size are crucial factors, as they determine the density of words on a page. For example, a 12-point Times New Roman font is a common academic standard that balances readability with space efficiency. Margin settings also play a pivotal role; wider margins reduce the text area, potentially increasing the number of pages required.

When adhering to formatting guidelines, consider the following elements:

• Font type and size
• Margin settings
• Line spacing
• Paragraph structure

Each institution may provide a formatting guide, emphasizing that the manuscript should be no longer than necessary to present all pertinent information. This directive underscores the importance of conciseness and relevance in your academic writing. By understanding and applying these standards, you ensure that your thesis is not only professionally presented but also meets the expected academic criteria.

Quantitative Benchmarks for Thesis Length

Average page and word counts.

When embarking on your undergraduate thesis, you may wonder about the average length you should aim for. While there is no one-size-fits-all answer, most theses range between 40 to 60 pages , with variations depending on the field of study and the complexity of the research topic. In terms of word count, this typically translates to approximately 10,000 to 15,000 words.

It's important to consider that these figures are merely averages and your thesis might reasonably fall outside this range. Factors such as the inclusion of graphics, charts, and the use of different formatting styles can significantly affect the total page count. For instance, a thesis with numerous images or tables may have more pages but fewer words per page. Conversely, a text-heavy thesis with dense paragraphs may have a higher word count but fewer pages.

To help you estimate the length of your thesis, here's a simple table that outlines the average word and page counts based on common formatting standards:

Remember, the quality of your research and writing is paramount; the length is secondary. Your focus should be on presenting your findings in a clear, concise, and comprehensive manner, regardless of the thesis length.

Minimum and Maximum Thresholds

Understanding the minimum and maximum thresholds for your undergraduate thesis is crucial. These limits are not arbitrary; they serve to ensure that your work is sufficiently detailed yet succinct enough to be engaging. Most institutions will provide specific guidelines on the expected length, which typically ranges from 10,000 to 20,000 words. However, these figures can vary significantly depending on your field of study and the complexity of your research topic.

It's important to adhere to these thresholds to demonstrate your ability to present a comprehensive argument within a structured format. Exceeding the maximum limit may suggest a lack of precision , while falling short of the minimum could imply insufficient depth. Below is a general guideline for the expected word count range by discipline:

While these benchmarks are helpful, your focus should be on the quality of your work. A well-argued thesis that falls within the word count range is more likely to meet the satisfaction of both students and professors . Utilize available tools such as worksheets and templates to organize your research and writing process effectively. Articles on research strategies and interview techniques can also provide valuable insights into crafting a compelling thesis.

Understanding Institutional Guidelines

Each academic institution has its own set of guidelines that dictate the expected length and structure of undergraduate theses. It is crucial for you to familiarize yourself with these requirements early in your thesis journey. Institutional guidelines often encompass more than just page counts; they can include specific formatting rules, citation styles, and even the types of binding accepted for the final submission.

To ensure you meet these standards, start by reviewing your department's thesis handbook or consult with your advisor. Here's a simplified checklist to help you navigate the institutional requirements:

• Obtain the latest version of the thesis handbook or guidelines.
• Note any department-specific rules that may affect the length of your thesis.
• Check for stipulated formatting details such as margin sizes, font type, and line spacing.
• Clarify expectations regarding the inclusion of appendices or supplementary material.

Remember, adhering to these guidelines is not just a matter of formality; it is a reflection of your ability to follow academic protocols and can impact the acceptance of your thesis. If in doubt, seek clarification to avoid any last-minute hurdles.

Quality Versus Quantity: Evaluating the Substance of a Thesis

The significance of content over length.

When you embark on the journey of writing your undergraduate thesis, it's essential to understand that the value of your work is not solely measured by its length. Quality of content should always take precedence over quantity . A well-articulated argument, clear structure, and thorough research are the hallmarks of a substantial thesis, regardless of its page count.

Your thesis should demonstrate a deep engagement with your topic, showcasing your ability to conduct independent research and contribute original insights. This is often reflected in the critical analysis and synthesis of information rather than the sheer volume of text. To help you focus on content quality, consider the following points:

• Ensure your thesis statement is clear and concise.
• Develop a logical flow of arguments supported by evidence.
• Critically evaluate sources and integrate them effectively into your discussion.
• Reflect on the implications of your findings and their contribution to the field.

Remember, your advisors and evaluation committees are looking for a demonstration of your scholarly abilities, not just a lengthy document. By prioritizing substance over size, you can produce a thesis that is both academically rigorous and succinct.

Critical Analysis and Argumentation

In the realm of undergraduate theses, the strength of your argumentation is paramount. Being critical pulls evidence together to build your arguments , synthesizing various pieces of information to present a coherent and persuasive narrative. This involves more than just summarizing existing knowledge; it requires you to engage in deeper analytical processes such as analyzing, evaluating, and interpreting data or theories.

Your ability to argue effectively hinges on how well you can support your claims with substantial evidence. This means not only presenting facts but also demonstrating how they interconnect to form the backbone of your thesis. Consider the following points to enhance your critical analysis:

• Identify the key themes and patterns in your research.
• Evaluate the strengths and weaknesses of different perspectives.
• Justify your methodology and its alignment with your research questions.
• Discuss the implications of your findings in relation to the existing body of knowledge.

Remember, a well-argued thesis is not just about the quantity of data or the number of sources cited; it's about the quality and depth of the critical engagement with your topic. Your advisors will be looking for this criticality as a hallmark of high-caliber academic writing.

Advisors' Expectations and Evaluations

Your thesis advisor plays a pivotal role in guiding you through the thesis process, from conception to completion. Their expectations are not just about the length of your work, but the quality and depth of your research and analysis. Advisors seek a demonstration of your ability to conduct independent research and present your findings in a clear, scholarly manner.

While you may grapple with thesis anxiety , remember that your advisor's evaluations are meant to refine your work, not to intimidate you. They provide constructive feedback to help you achieve a thesis that is both comprehensive and academically rigorous. Here are some qualitative points to consider when understanding your advisor's perspective:

• The clarity and logic of your argumentation.
• The relevance and accuracy of your research data.
• The originality of your thesis and its contribution to the field.
• Your adherence to academic standards and ethical guidelines.

Engaging with your advisor regularly and openly will help you align your efforts with their expectations, ensuring that your thesis not only meets but exceeds the academic criteria.

Navigating the Thesis Journey: Strategies for Effective Writing

Developing a coherent thesis action plan.

Embarking on your thesis journey requires a well-thought-out action plan that serves as a roadmap to guide you through the intricate process of research and writing. Begin by identifying your thesis advisor and establishing a series of weekly meetings. These sessions are invaluable for gaining insights into previous works, discussing your progress, and receiving feedback.

Next, focus on structuring your content effectively. Create a detailed outline that breaks down your thesis into manageable sections or chapters. This will help you maintain a clear direction and ensure that each component of your thesis receives appropriate attention. Consider the following steps to structure your outline:

• Define your thesis objective.
• Investigate previous theses for structure ideas.
• Allocate words and content to each section.
• Develop an annotated bibliography or literature review early on.

Lastly, utilize the plethora of tools and resources available to you, such as academic project planners and literature navigators. These tools are designed to support and guide you throughout your thesis journey, making the process more efficient and less daunting.

Time Management and Setting Realistic Deadlines

Effective time management is pivotal in your journey through the thesis writing process. Developing a realistic timeline is not just about setting end goals; it's about understanding the ebb and flow of your productivity and the intricacies of your research topic. Break down your thesis into manageable sections and estimate the time needed for each. This approach allows you to set mini-deadlines that are achievable and keeps you on track without feeling overwhelmed.

Consider the following steps to ensure you're setting realistic deadlines:

• Identify key milestones in your thesis journey.
• Allocate a generous amount of time for unexpected challenges.
• Regularly review and adjust your timeline as necessary.
• Balance your thesis work with other academic and personal commitments.

Remember, a well-planned schedule is a flexible one. It accommodates changes and provides a buffer for when life's unpredictabilities strike. By adhering to a structured yet adaptable plan, you can navigate the thesis writing process with confidence and clarity.

Utilizing Academic Support Resources

As you navigate the intricate process of thesis writing, it's crucial to leverage the academic support resources available to you. These resources are designed to bolster your research and writing efforts, providing a structured approach to tackling your thesis. Utilize tools such as the Academic Project Planner and the Thesis Dialogue Blueprint to streamline your work and maintain clarity throughout your journey.

Institutions often offer a variety of support services, from writing centers to research workshops. Below is a list of potential resources you might find helpful:

• Writing centers offering one-on-one consultations
• Research methodology workshops
• Time management and study skills seminars
• Peer review groups
• Online resources, including templates and guides

Remember, these resources are there to assist you; make the most of them to enhance the quality of your thesis and to navigate the journey with confidence.

Embarking on the thesis writing process can be a daunting task, but with the right strategies and guidance, it can also be a rewarding journey. Our website offers a wealth of resources and expert advice to help you navigate each stage of your thesis with confidence. Whether you're struggling with structuring your arguments or seeking tips for maintaining momentum, we've got you covered. Don't let the challenges of thesis writing hold you back. Visit our website now for strategies that can transform your writing experience and lead you to success!

In conclusion, the length of undergraduate theses can vary significantly depending on the academic discipline, the complexity of the research topic, and the specific requirements of the educational institution. Typically, these comprehensive works range from 40 to 60 pages, but can extend to hundreds of pages for more in-depth studies. It is essential for students to consult their department's guidelines and seek clarity on expectations early in the thesis planning process. By understanding the standard span and formatting expectations, students can better manage their time and efforts, ultimately producing a scholarly work that meets academic standards and contributes meaningfully to their field of study.

Frequently Asked Questions

How long is a typical undergraduate thesis.

The length of an undergraduate thesis varies by discipline and institution, but on average, it ranges from 40 to 60 pages. However, some theses may be shorter or longer depending on the complexity of the research and the specific requirements of the degree program.

Are there minimum and maximum length requirements for undergraduate theses?

Yes, many institutions have guidelines that specify minimum and maximum lengths for theses. It's common for a minimum of around 40 pages and a maximum that could range up to 100 pages or more, depending on the field of study and the institution's requirements.

Does the page count of a thesis include the bibliography and appendices?

Typically, the page count includes the main body of the thesis and excludes supplementary sections such as the bibliography and appendices. However, it's important to check with your institution's guidelines for specific details.

How important is the length of a thesis compared to the quality of content?

While adhering to length requirements is important, the quality of content is paramount. A well-argued, critical, and analytically sound thesis is more valuable than one that simply meets length criteria without substance.

Can the formatting style affect the length of a thesis?

Yes, different formatting styles, such as APA, MLA, or Chicago, can affect the overall length due to variations in title pages, headings, and section requirements.

What strategies can help manage the writing process of a thesis effectively?

Developing a coherent thesis action plan, managing time well, setting realistic deadlines, and utilizing academic support resources like writing centers or thesis writing guides can greatly aid in effectively managing the thesis writing process.

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Frequently asked questions

How long is a dissertation.

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarise yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

• Harvard referencing , the most commonly used style in UK universities.
• MHRA , used in humanities subjects.
• APA , used in the social sciences.
• Vancouver , used in biomedicine.
• OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

• (Smith, 2019a)
• (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

• Highlight all the entries
• Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
• In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
• Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

• A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
• A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

• In the company of
• In the middle of
• Surrounded by

Some synonyms and near synonyms of between  include:

• In the space separating
• In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

• Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

• Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
• Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
• Avoid accidental plagiarism with our reliable Plagiarism Checker .
• Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

• Write the summary entirely in your own words by   paraphrasing the author’s ideas.
• Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

• Copying and pasting a Wikipedia article into the body of an assignment
• Quoting a source without including a citation
• Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
• Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

• Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
• Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
• Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
• Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

• A testable hypothesis
• One or more independent variables that you will manipulate
• One or more dependent variables that you will measure

When designing the experiment, first decide:

• How your variable(s) will be manipulated
• How you will control for any potential confounding or lurking variables
• How many subjects you will include
• How you will assign treatments to your subjects

There are four main types of triangulation :

• Data triangulation : Using data from different times, spaces, and people
• Investigator triangulation : Involving multiple researchers in collecting or analysing data
• Theory triangulation : Using varying theoretical perspectives in your research
• Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

• Reduce bias that comes from using a single method, theory, or investigator
• Enhance validity by approaching the same topic with different tools
• Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

• It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
• Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

• Only requires small samples
• Statistically powerful
• Removes the effects of individual differences on the outcomes

Disadvantages:

• Internal validity threats reduce the likelihood of establishing a direct relationship between variables
• Time-related effects, such as growth, can influence the outcomes
• Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

• Prevents carryover effects of learning and fatigue.
• Shorter study duration.
• Needs larger samples for high power.
• Uses more resources to recruit participants, administer sessions, cover costs, etc.
• Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

• In single-stage sampling , you collect data from every unit within the selected clusters.
• In double-stage sampling , you select a random sample of units from within the clusters.
• In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

• Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
• Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
• Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

• Convergent validity : The extent to which your measure corresponds to measures of related constructs
• Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

• Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
• Statistical generalisation: You use specific numbers about samples to make statements about populations.
• Causal reasoning: You make cause-and-effect links between different things.
• Sign reasoning: You make a conclusion about a correlational relationship between different things.
• Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

• Response variables (they respond to a change in another variable)
• Outcome variables (they represent the outcome you want to measure)
• Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

• Explanatory variables (they explain an event or outcome)
• Predictor variables (they can be used to predict the value of a dependent variable)
• Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

• If you have quantitative variables , use a scatterplot or a line graph.
• If your response variable is categorical, use a scatterplot or a line graph.
• If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

• An explanatory variable is the expected cause, and it explains the results.
• A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

• Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
• Experimenter effects : Unintentional actions by researchers that influence study outcomes
• Situational variables : Eenvironmental variables that alter participants’ behaviours
• Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

• The type of cola – diet or regular – is the independent variable .
• The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

• Discrete variables represent counts (e.g., the number of objects in a collection).
• Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

• The  independent variable  is the amount of nutrients added to the crop field.
• The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

• It’s caused by the independent variable
• It influences the dependent variable
• When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
• You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

• You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
• You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
• Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

• You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
• Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

• You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
• Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
• You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
• Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

• Structured interviews : The questions are predetermined in both topic and order.
• Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
• Unstructured interviews : None of the questions are predetermined.
• Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

• Open-ended and flexible
• Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
• Unambiguous, getting straight to the point while still stimulating discussion
• Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

• In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
• In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

• A positive correlation means that both variables change in the same direction.
• A negative correlation means that the variables change in opposite directions.
• A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

• A control group that receives a standard treatment, a fake treatment, or no treatment
• Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

• Use masking (blinding) to hide the purpose of your study from all observers.
• Triangulate your data with different data collection methods or sources.
• Use multiple observers and ensure inter-rater reliability.
• Train your observers to make sure data is consistently recorded between them.
• Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

• In a single-blind study , only the participants are blinded.
• In a double-blind study , both participants and experimenters are blinded.
• In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

• First, the author submits the manuscript to the editor.
• Reject the manuscript and send it back to author, or
• Send it onward to the selected peer reviewer(s)
• Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
• Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

• Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
• Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

• If there is no sampling frame available (e.g., people with a rare disease)
• If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
• If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

• Reproducing research entails reanalysing the existing data in the same manner.
• Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
• A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
• A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

• Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

• Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
• Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

• Construct validity : Does the test measure the construct it was designed to measure?
• Face validity : Does the test appear to be suitable for its objectives ?
• Content validity : Does the test cover all relevant parts of the construct it aims to measure.
• Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

• Budget constraints or any specifics of grant funding
• Your proposed timeline and duration
• Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
• Any inclusion and exclusion criteria
• Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

• Reformulating the sentence (e.g., change active to passive , or start from a different point)
• Combining information from multiple sentences into one
• Leaving out information from the original that isn’t relevant to your point
• Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

• Paraphrasing is plagiarism if you don’t properly credit the original author.
• Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
• Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

• Changing the phrasing would distort the meaning of the original text
• You want to discuss the author’s language choices (e.g., in literary analysis )
• You’re presenting a precise definition
• You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA recommends retaining the citations as part of the quote:

• Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

• Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
• Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
• Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

• To analyse the author’s language (e.g., in a literary analysis essay )
• To give evidence from primary sources
• To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

• Common nouns and proper nouns
• Countable and uncountable nouns
• Concrete and abstract nouns
• Collective nouns
• Possessive nouns
• Attributive nouns
• Appositive nouns
• Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

• In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
• In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

• Deception: Hide the purpose of the study from participants
• Between-groups design : Give each participant only one independent variable treatment
• Double-blind design : Conceal the assignment of groups from participants and yourself
• Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

• Provide compensation (e.g., cash or gift cards) for attending every session
• Minimise the number of follow-ups as much as possible
• Make all follow-ups brief, flexible, and convenient for participants
• Send participants routine reminders to schedule follow-ups
• Recruit more participants than you need for your sample (oversample)
• Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

• Attributive adjectives
• Predicative adjectives
• Comparative adjectives
• Superlative adjectives
• Coordinate adjectives
• Appositive adjectives
• Compound adjectives
• Participial adjectives
• Proper adjectives
• Denominal adjectives
• Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

• Julie is better than Jesse.
• I’d rather spend my time with you than with him.
• I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to do laundry once a week.
• They used to do each other’s hair.
• We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

• Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

• Regular verbs
• Irregular verbs
• Transitive verbs
• Intransitive verbs
• Dynamic verbs
• Stative verbs
• Linking verbs
• Auxiliary verbs
• Modal verbs
• Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

• A is used for words that begin with a consonant sound (e.g., a bear).
• An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

• Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
• Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
• Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

• ‘The cat ate its food’.
• ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

• Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
• Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to be the new coworker.
• There used to be 4 cookies left.
• We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

• Conveying the emotional state of the characters or the narrator
• Creating an atmosphere or set the mood of a scene
• Foreshadowing events to come
• Giving texture and vividness to a piece of writing
• Communicating emotion to the reader in a subtle way, by describing the external world.
• Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

• At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
• At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

• Nominal : the data can only be categorised.
• Ordinal : the data can be categorised and ranked.
• Interval : the data can be categorised and ranked, and evenly spaced.
• Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

• I am looking forward in hearing from you.
• I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

• Eagerly awaiting your response
• Hoping to hear from you soon
• It would be great to hear back from you
• Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

• I’m looking forward to hear from you soon.
• I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

• Be composed of
• Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

• Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
• Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
• The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
• The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
• The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

• A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
• A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

• Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
• Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

• When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
• If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

• Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
• Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
• Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

• Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
• Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

• In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
• In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
• As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

• The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
• The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

• Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
• Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

• Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
• Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

• The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
• The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

• Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
• Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
• Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

• In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
• In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

• By presenting only two options as if these were the only ones available
• By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

• Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
• Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

• A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
• Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

• Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
• Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
• Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

• An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
• An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

• When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
• Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
• Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

• Believing that wearing your lucky jersey will help your team win 
• Thinking that everytime you wash your car, it rains
• Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

• The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
• Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

• Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
• Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

• Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
• Authority: It’s just a language model and is not considered a trustworthy source of factual information.
• Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

• Gives the tool a role to explain what type of answer you expect from it
• Is precisely formulated and gives enough context
• Is free from bias
• Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

• Follow this link to the ChatGPT website.
• Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
• Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

• Reproducing biases and false information
• Using ChatGPT to cheat in academic contexts
• Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

• Following your institution’s guidelines
• Critically evaluating outputs
• Being transparent about how you used the tool

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You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

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Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

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• You send us your text as soon as possible and
• You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the  Scribbr Improvement Model  and will deliver high-quality work.

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Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

• You can learn a lot by looking at the mistakes you made.
• The editors don’t only change the text – they also place comments when sentences or sometimes even entire paragraphs are unclear. You should read through these comments and take into account your editor’s tips and suggestions.
• With a final read-through, you can make sure you’re 100% happy with your text before you submit!

You choose the turnaround time when ordering. We can return your dissertation within 24 hours , 3 days or 1 week . These timescales include weekends and holidays. As soon as you’ve paid, the deadline is set, and we guarantee to meet it! We’ll notify you by text and email when your editor has completed the job.

Very large orders might not be possible to complete in 24 hours. On average, our editors can complete around 13,000 words in a day while maintaining our high quality standards. If your order is longer than this and urgent, contact us to discuss possibilities.

Always leave yourself enough time to check through the document and accept the changes before your submission deadline.

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Our customer support team is here to find the solution that helps you the most, whether that’s a free new edit or a refund for the service.

Yes, in the order process you can indicate your preference for American, British, or Australian English .

If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.

• How it works

What Is The Average Dissertation Length?

Published by Alvin Nicolas at March 4th, 2024 , Revised On March 5, 2024

There is no one-size-fits-all answer when it comes to answering the question, “How long should my dissertation be?”. However, the standard is as follows. 

Shorter Dissertations

Some fields or programs may have shorter dissertation requirements, particularly in disciplines where the research tends to be more focused or where a shorter document suffices to convey the research findings. In such cases, dissertations might range from 50 to 100 pages or even shorter.

Average-Length Dissertations

For many doctoral programs, particularly in the humanities, social sciences, and some STEM fields, the average dissertation length falls between 150 and 300 pages . This length allows for a thorough exploration of the research topic , a review of literature , methodology , data analysis , and a discussion of findings .

Longer Dissertations

In certain scientific or technical fields and interdisciplinary studies, dissertations can be longer, ranging from 300 to 500 pages or more. These longer dissertations often involve extensive data collection, complex analyses, multiple experiments or case studies, and detailed discussion of results and implications.

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Proposal and dissertation orders completed by our expert writers are

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Factors Affecting Dissertation Length

There are a number of factors that contribute to the length, including

Field of Study

Your dissertation depends on your discipline. Humanities and social sciences usually have a lower average word count compared to sciences and engineering because the latter requires extensive data analysis and experimentation. 

University Requirements

Most universities have certain specific guidelines influenced by department and faculty expectations. It is important to go through them before you start writing. 

Research Methodology

The complexity of the research design and methodology can impact the length. Dissertations having comprehensive data collection might need additional space for detailed justification. 

Literature Review

Depending on how novel your research topic is, the length of your literature review varies. If there is a lot of research done on your variables, your dissertation will be longer. 

Can a dissertation exceed recommended length?

Yes, but ensure all content is relevant and contributes meaningfully to the research.

How can I manage dissertation length effectively?

Plan meticulously, prioritize content, and seek feedback to ensure conciseness without sacrificing depth.

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How to write an undergraduate university dissertation

Writing a dissertation is a daunting task, but these tips will help you prepare for all the common challenges students face before deadline day.

Grace McCabe

Writing a dissertation is one of the most challenging aspects of university. However, it is the chance for students to demonstrate what they have learned during their degree and to explore a topic in depth.

In this article, we look at 10 top tips for writing a successful dissertation and break down how to write each section of a dissertation in detail.

10 tips for writing an undergraduate dissertation

1. Select an engaging topic Choose a subject that aligns with your interests and allows you to showcase the skills and knowledge you have acquired through your degree.

2. Research your supervisor Undergraduate students will often be assigned a supervisor based on their research specialisms. Do some research on your supervisor and make sure that they align with your dissertation goals.

3. Understand the dissertation structure Familiarise yourself with the structure (introduction, review of existing research, methodology, findings, results and conclusion). This will vary based on your subject.

4. Write a schedule As soon as you have finalised your topic and looked over the deadline, create a rough plan of how much work you have to do and create mini-deadlines along the way to make sure don’t find yourself having to write your entire dissertation in the final few weeks.

5. Determine requirements Ensure that you know which format your dissertation should be presented in. Check the word count and the referencing style.

6. Organise references from the beginning Maintain an alphabetically arranged reference list or bibliography in the designated style as you do your reading. This will make it a lot easier to finalise your references at the end.

7. Create a detailed plan Once you have done your initial research and have an idea of the shape your dissertation will take, write a detailed essay plan outlining your research questions, SMART objectives and dissertation structure.

8. Keep a dissertation journal Track your progress, record your research and your reading, and document challenges. This will be helpful as you discuss your work with your supervisor and organise your notes.

9. Schedule regular check-ins with your supervisor Make sure you stay in touch with your supervisor throughout the process, scheduling regular meetings and keeping good notes so you can update them on your progress.

10. Employ effective proofreading techniques Ask friends and family to help you proofread your work or use different fonts to help make the text look different. This will help you check for missing sections, grammatical mistakes and typos.

What is a dissertation?

A dissertation is a long piece of academic writing or a research project that you have to write as part of your undergraduate university degree.

It’s usually a long essay in which you explore your chosen topic, present your ideas and show that you understand and can apply what you’ve learned during your studies. Informally, the terms “dissertation” and “thesis” are often used interchangeably.

How do I select a dissertation topic?

First, choose a topic that you find interesting. You will be working on your dissertation for several months, so finding a research topic that you are passionate about and that demonstrates your strength in your subject is best. You want your topic to show all the skills you have developed during your degree. It would be a bonus if you can link your work to your chosen career path, but it’s not necessary.

Second, begin by exploring relevant literature in your field, including academic journals, books and articles. This will help you identify gaps in existing knowledge and areas that may need further exploration. You may not be able to think of a truly original piece of research, but it’s always good to know what has already been written about your chosen topic.

Consider the practical aspects of your chosen topic, ensuring that it is possible within the time frame and available resources. Assess the availability of data, research materials and the overall practicality of conducting the research.

When picking a dissertation topic, you also want to try to choose something that adds new ideas or perspectives to what’s already known in your field. As you narrow your focus, remember that a more targeted approach usually leads to a dissertation that’s easier to manage and has a bigger impact. Be ready to change your plans based on feedback and new information you discover during your research.

How to work with your dissertation supervisor?

Your supervisor is there to provide guidance on your chosen topic, direct your research efforts, and offer assistance and suggestions when you have queries. It’s crucial to establish a comfortable and open line of communication with them throughout the process. Their knowledge can greatly benefit your work. Keep them informed about your progress, seek their advice, and don’t hesitate to ask questions.

1. Keep them updated Regularly tell your supervisor how your work is going and if you’re having any problems. You can do this through emails, meetings or progress reports.

2. Plan meetings Schedule regular meetings with your supervisor. These can be in person or online. These are your time to discuss your progress and ask for help.

3. Share your writing Give your supervisor parts of your writing or an outline. This helps them see what you’re thinking so they can advise you on how to develop it.

5. Ask specific questions When you need help, ask specific questions instead of general ones. This makes it easier for your supervisor to help you.

6. Listen to feedback Be open to what your supervisor says. If they suggest changes, try to make them. It makes your dissertation better and shows you can work together.

7. Talk about problems If something is hard or you’re worried, talk to your supervisor about it. They can give you advice or tell you where to find help.

8. Take charge Be responsible for your work. Let your supervisor know if your plans change, and don’t wait if you need help urgently.

Remember, talking openly with your supervisor helps you both understand each other better, improves your dissertation and ensures that you get the support you need.

How to write a successful research piece at university How to choose a topic for your dissertation Tips for writing a convincing thesis

How do I plan my dissertation?

It’s important to start with a detailed plan that will serve as your road map throughout the entire process of writing your dissertation. As Jumana Labib, a master’s student at the University of Manchester  studying digital media, culture and society, suggests: “Pace yourself – definitely don’t leave the entire thing for the last few days or weeks.”

Decide what your research question or questions will be for your chosen topic.

Break that down into smaller SMART (specific, measurable, achievable, relevant and time-bound) objectives.

Speak to your supervisor about any overlooked areas.

Create a breakdown of chapters using the structure listed below (for example, a methodology chapter).

Define objectives, key points and evidence for each chapter.

Define your research approach (qualitative, quantitative or mixed methods).

Outline your research methods and analysis techniques.

Develop a timeline with regular moments for review and feedback.

Allocate time for revision, editing and breaks.

Consider any ethical considerations related to your research.

Stay organised and add to your references and bibliography throughout the process.

Remain flexible to possible reviews or changes as you go along.

A well thought-out plan not only makes the writing process more manageable but also increases the likelihood of producing a high-quality piece of research.

How to structure a dissertation?

The structure can depend on your field of study, but this is a rough outline for science and social science dissertations:

Introduce your topic.

Complete a source or literature review.

Describe your research methodology (including the methods for gathering and filtering information, analysis techniques, materials, tools or resources used, limitations of your method, and any considerations of reliability).

Summarise your findings.

Discuss the results and what they mean.

Conclude your point and explain how your work contributes to your field.

On the other hand, humanities and arts dissertations often take the form of an extended essay. This involves constructing an argument or exploring a particular theory or analysis through the analysis of primary and secondary sources. Your essay will be structured through chapters arranged around themes or case studies.

All dissertations include a title page, an abstract and a reference list. Some may also need a table of contents at the beginning. Always check with your university department for its dissertation guidelines, and check with your supervisor as you begin to plan your structure to ensure that you have the right layout.

How long is an undergraduate dissertation?

The length of an undergraduate dissertation can vary depending on the specific guidelines provided by your university and your subject department. However, in many cases, undergraduate dissertations are typically about 8,000 to 12,000 words in length.

“Eat away at it; try to write for at least 30 minutes every day, even if it feels relatively unproductive to you in the moment,” Jumana advises.

How do I add references to my dissertation?

References are the section of your dissertation where you acknowledge the sources you have quoted or referred to in your writing. It’s a way of supporting your ideas, evidencing what research you have used and avoiding plagiarism (claiming someone else’s work as your own), and giving credit to the original authors.

Referencing typically includes in-text citations and a reference list or bibliography with full source details. Different referencing styles exist, such as Harvard, APA and MLA, each favoured in specific fields. Your university will tell you the preferred style.

Using tools and guides provided by universities can make the referencing process more manageable, but be sure they are approved by your university before using any.

How do I write a bibliography or list my references for my dissertation?

The requirement of a bibliography depends on the style of referencing you need to use. Styles such as OSCOLA or Chicago may not require a separate bibliography. In these styles, full source information is often incorporated into footnotes throughout the piece, doing away with the need for a separate bibliography section.

Typically, reference lists or bibliographies are organised alphabetically based on the author’s last name. They usually include essential details about each source, providing a quick overview for readers who want more information. Some styles ask that you include references that you didn’t use in your final piece as they were still a part of the overall research.

It is important to maintain this list as soon as you start your research. As you complete your research, you can add more sources to your bibliography to ensure that you have a comprehensive list throughout the dissertation process.

How to proofread an undergraduate dissertation?

Throughout your dissertation writing, attention to detail will be your greatest asset. The best way to avoid making mistakes is to continuously proofread and edit your work.

Proofreading is a great way to catch any missing sections, grammatical errors or typos. There are many tips to help you proofread:

Ask someone to read your piece and highlight any mistakes they find.

Change the font so you notice any mistakes.

Format your piece as you go, headings and sections will make it easier to spot any problems.

Separate editing and proofreading. Editing is your chance to rewrite sections, add more detail or change any points. Proofreading should be where you get into the final touches, really polish what you have and make sure it’s ready to be submitted.

Stick to your citation style and make sure every resource listed in your dissertation is cited in the reference list or bibliography.

How to write a conclusion for my dissertation?

Writing a dissertation conclusion is your chance to leave the reader impressed by your work.

Start by summarising your findings, highlighting your key points and the outcome of your research. Refer back to the original research question or hypotheses to provide context to your conclusion.

You can then delve into whether you achieved the goals you set at the beginning and reflect on whether your research addressed the topic as expected. Make sure you link your findings to existing literature or sources you have included throughout your work and how your own research could contribute to your field.

Be honest about any limitations or issues you faced during your research and consider any questions that went unanswered that you would consider in the future. Make sure that your conclusion is clear and concise, and sum up the overall impact and importance of your work.

Remember, keep the tone confident and authoritative, avoiding the introduction of new information. This should simply be a summary of everything you have already said throughout the dissertation.

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How Long is a Dissertation

How Long is a Dissertation? Concrete Answers

An undergraduate dissertation usually falls within the range of 8,000 to 15,000 words, while a master's dissertation typically spans from 12,000 to 50,000 words. In contrast, a PhD thesis is typically of book length, ranging from 70,000 to 100,000 words.

Let’s unravel the mystery of how long should a dissertation be. If you’ve ever wondered about this, look no further. Our comprehensive guide delves into the nitty-gritty of dissertation lengths across diverse academic realms. Whether you're a budding grad student, an academic advisor, or just curious, we've got you covered.

From Master's to PhD programs, we decode the variations in length requirements and shed light on disciplinary disparities. In general, dissertations are 150 to 300 words. But factors influence the length of these daunting scholarly requirements! But fear not as we break it down for you.

We’ll unveil the secrets behind dissertation writing, from how they reflect the depth and breadth of research to offering invaluable tips for planning and writing. So, if you're ready to demystify the daunting dissertation journey, hop on board! Let's navigate the labyrinth of academia together and empower you to conquer your scholarly aspirations.

Institutional guidelines on dissertation length 

You can think of institutional guidelines as purveyors of academic excellence. Ever wondered why schools impose specific requirements like "Chapter 1: The Introduction must be at least 35 pages long and no more than 50 pages"? 

It's not just about arbitrary rules! However, it's about striking the perfect balance between guidance and practicality. These guidelines serve as guardrails, steering students like you towards scholarly success without overwhelming faculty with endless pages to peruse. 

Moreover, credibility is key here! A mere 8-page literature review won't cut it in the realm of academia. But fear not, for most institutions provide dissertation templates, complete with essential headings to streamline the process. 

And for those seeking a helping hand, a dissertation writing service like ours stands ready to assist, ensuring your masterpiece meets the lofty standards of academic rigor. So, embrace the guidelines, weave your narrative, and let your dissertation shine with scholarly prowess.

Variations in dissertation length across academic disciplines

Dissertation length varies significantly across academic disciplines due to differences in research methods, data presentation, and writing conventions. Here's a general overview of how dissertation length can differ by discipline:

• Humanities and Social Sciences: Dissertations in these fields tend to be longer because they often involve comprehensive literature reviews, detailed theoretical analyses, and extensive qualitative data. It's not uncommon for dissertations in history, literature, or sociology to exceed 200 pages.
• Sciences and Engineering: Dissertations in the sciences and engineering might be shorter in terms of page count but are dense with technical details, data, charts, and appendices. They often range between 100 to 200 pages. However, the length can vary significantly depending on the complexity of the work and the requirements of the specific program.
• Arts and Design: In creative disciplines, the dissertation might include a practical component (like a portfolio, exhibition, or performance) alongside a written thesis. The written component might be shorter, focusing on the conceptual and contextual analysis of the creative work, usually ranging from 40 to 80 pages.
• Professional Fields (Business, Education, etc.): Dissertations in professional fields such as business or education often focus on case studies, practical applications, and policy analysis. These dissertations can vary widely in length but often fall in the range of 100 to 200 pages.

Dissertations vary in length due to many factors, which shows the diverse nature of academic research. Disciplinary differences are significant, as each field may have distinct expectations regarding the depth and scope of the study. 

The type of analysis conducted, whether qualitative, quantitative, or a combination of both, also impacts the length. 

For instance, qualitative studies may involve extensive textual analysis, resulting in longer manuscripts, while quantitative studies may require detailed statistical analyses. Additionally, the specific area of research within a discipline can also affect the length, as certain topics may necessitate more:

• extensive literature reviews
• data collection (e.g., fieldwork, surveys, interviews, lab work)
• discussion sections

While the average length typically falls within the range of 150-300 pages, it's essential to recognize the nuanced factors contributing to variations in dissertation length. You must remain informed about the variables shaping your document's overall size and structure to deliver exemplary results.

Factors influencing the length of doctoral dissertations

Various factors determine the length of a dissertation, such as the specific guidelines set by universities, the type of research conducted, the extent of analysis required, and the presence of supplementary materials.

Several factors come into play when determining the ideal length of a dissertation. University guidelines set the tone, with institutions offering word count ranges typically between 8,000 to 15,000 words for undergraduates and masters and 75,000 to 100,000 words for PhD. 

Yet, beyond these guidelines, the nature of your research holds sway.

Disciplines vary, with humanities favoring extensive literature reviews and scientific fields emphasizing methodological intricacies. Depth of analysis matters, too; a thorough exploration demands more space. 

Balancing these elements ensures a well-rounded dissertation. So, as you embark on your scholarly journey, consider these factors carefully. By understanding them, you'll craft a dissertation that not only meets academic standards but also showcases your analytical prowess and depth of intelligence.

Length, components, and scholarly dedication

Many aspiring scholars think, "How long is a doctoral dissertation?" However, the answer isn't straightforward. Yes, length varies, but let's not forget to factor in a crucial element: time. And we know because many students have instructed us to “ write my dissertation !”

Remember, a dissertation isn't penned in one sitting. Rather, it often evolves from smaller academic chapters. This gradual process allows students to explore diverse topics before committing to a book-length project they're passionate about.

Beyond the central argument lie various components that contribute to the overall length. Take the literature review, for example—an essential segment that contextualizes the research by analyzing existing scholarship. Then there's the myriad of ancillary elements like the title page, acknowledgments, abstract, and appendix, each adding to the dissertation's page count.

It’s the accumulation of these parts that determines the length. So, while the answer may not be a precise number, it's crucial to acknowledge many elements that make up a doctoral dissertation. And for those embarking on this scholarly journey, we can help you conquer this challenge.

How Long is a Dissertation Chapter? Uncover the Mystery

When it comes to dissertation length, most grad students fret over how long each chapter should be. While there's no one-size-fits-all answer, there is a golden rule–chapters should be long enough to address the research question comprehensively. 

Think quality over quantity! Ask any dissertation adviser, and they’ll say aiming to fill a predetermined number of pages shouldn’t be the goal. Rather, you must thoroughly explore your topic, conduct extensive research, and present your findings effectively. 

Your writing style and the unique nature of your research also play pivotal roles. So, whether your chapter spans 50 pages or 150, ensure it's packed with substantive content that advances your study. Ultimately, it's not about hitting a page count but about delivering a high-quality scholarly contribution.

Writing an Excellent PhD Dissertation: Strategies and Tips

After you’re done pondering on how many pages should a dissertation be, you can move on with production. Wondering how to write a dissertation , here are some tips: 

• Start with a significant research topic that inspires you and formulate a clear research question. 
• Thoroughly review existing literature to contextualize your study. 
• Develop a robust methodology and collect comprehensive data. 
• Analyze findings meticulously and synthesize them effectively. 
• Ensure logical flow throughout your writing, striving for clarity and coherence. 
• Engage with other scholars, both peers and mentors, to refine your work.
• Maintain consistency in formatting and adhere to academic standards. 

Remember, with meticulous planning and dedication, you'll produce a dissertation that makes you and your mentors proud. 

How long is a PhD dissertation?: The Conundrum

Do you belong to the list of students who feel bewildered about PhD dissertation length? Many wonder because of the length’s variability across disciplines and institutions. The general ballpark figure for a completed doctoral dissertation is typically between 150 to 300 pages. Yet, this can vary widely depending on factors such as: 

• field of study
• research methodology used
• individual institutional requirements
• guidelines of mentors

Although there's no one-size-fits-all answer, understanding these variables can help you navigate the ambiguity surrounding dissertation length. And with proper planning, you can create an impressive output. 

Frequently asked questions

How to properly plan and prepare for a long dissertation .

Thinking about how long is a dissertation for PhD stops students on their track. It can indeed be overwhelming when you think of the amount of work involved. But with proper planning, you can crush your goals. Here are some helpful tips: 

• Break down your work into manageable steps. 
• Define your research question clearly and set realistic milestones. 
• Create an outline to help you write. `
• Have a schedule for research, writing, and revisions. 
• Stay organized with notes, citations, and references. 
• Seek feedback from advisors and peers throughout the process. 

Remember, embrace the challenges you face as opportunities for growth!

Are supporting materials counted in the dissertation word count? 

Worried about how long is a dissertation paper and if yours will make the cut? Remember, appendices, tables, and figures, while essential, aren't factored into the word count. So, you can incorporate these supplementary elements without concerns about exceeding word limits.

If you’re pressed for time, you can buy dissertation online . Just ensure to give appropriate instructions so the final output adheres to your institution's formatting guidelines. With these supporting materials appropriately included, your dissertation will be comprehensive.

Are there different types of dissertations? 

When asking how long are dissertations, one of the first things to consider is the field of study. Various types of dissertations exist, often shaped by research methodology. It can be quantitative to qualitative studies or triangulation (a blend of both). 

Instead of worrying about the length, determine your research approach—whether it's primary or secondary, qualitative or quantitative. This decision significantly impacts the depth and breadth of your investigation, ultimately influencing the expected length of your dissertation. By aligning your research methods with your academic goals, you'll gain clarity on the scope of your writing project. 

Another aspect of the length of the entire document is the type of thesis - be it an undergraduate thesis, masters thesis, or thesis for an advanced degree, most dissertations for academic programs are lengthy. The more advanced the degree, the longer the thesis usually is.

Are dissertations just for PhDs? 

How many pages in a dissertation is something most students worry about. But is a dissertation just for doctoral candidates? In some countries, dissertations are exclusive to PhDs. However, for other countries, the term “dissertation” is interchangeable with "thesis." Why so?

Because both are research projects completed for undergraduate or postgraduate degrees. Keep in mind that whether you’re pursuing a bachelor's, an MA, or a doctorate, dissertation writing demonstrates your research skills and academic proficiency.

Your doctoral degree, just like your graduate degree from a graduate school, shows you can successfully navigate the research process, theoretical framework, and dissertation defense. Sure, the scope of research was less focused while you were a graduate student with a master's thesis. Nonetheless, it shows consistent work and dedication.

How many chapters in a dissertation? 

Still mulling over how long does a dissertation have to be and how many chapters you must write? Dissertations usually consist of five to seven chapters. These typically cover the following: 

• introduction
• literature review
• methodology

However, the structure can vary depending on your field of study and specific institutional guidelines. Each chapter plays a vital role, leading readers through your research journey, from laying the groundwork to presenting findings and drawing conclusions.

How do I find a reputable dissertation writer to help me? 

Worried about how long are PhD dissertations? No need to worry. You can opt for professional help, and there’s no shame in that! Research for online platforms that specialize in academic writing services like our Studyfy team.

You can take a peek at our positive reviews and testimonials, showing our track record of delivering high-quality work. Choose a writer who possesses expertise in your field of study and can meet your specific requirements. Prioritize the following: 

• clear communication 
• appropriate instructions (from word count to deadlines)
• transparency regarding pricing
• upfront about revision policies. 

By vetting potential writers and choosing a reputable service, you can secure the assistance of a reliable professional to guide you through the dissertation writing process.

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How Long Is A Dissertation: Chapter-To-Chapter Division

By Laura Brown on 10th July 2023

Students often worry about how many words is a dissertation. The length of a dissertation can vary depending on the field of study, the institution, and the level of education.

• Undergraduate dissertations are typically between 8,000 to 12,000 words
• Master’s dissertations are normally between 15,000 to 25,000 words.
• Whereas, PhD dissertations or theses are typically book-length, at 30,000 to 100,000 words.

However, these are just general guidelines, and your dissertation may be shorter or longer depending on specific requirements of your professor or institution.

So, if you are reading this, it is for sure you are looking forward to determining the right length of the dissertation. We welcome all the aspiring scholars to Crowd Writer UK as today, we embark on an exciting journey into the world of dissertations.

For many of you, the term “dissertation” might still be shrouded in mystery. Fear not, we are here to shed light on this significant milestone in your academic career. So, grab a seat, and let’s unravel the secrets of dissertation length!

What is a Dissertation

First things first, before knowing how many words is a dissertation, we need to understand what exactly is a dissertation? Well, think of it as the pinnacle of your academic pursuit. A dissertation is an in-depth research project that demonstrates your mastery of a particular subject or field . It showcases your ability to critically analyse existing knowledge, conduct original research, and contribute to scholarly conversation.

Length Matters, But Don’t Panic!

Now, let’s address the burning question: How long is a dissertation UK? The answer may vary depending on your academic level. For undergraduate students, the average length typically ranges from 8,000 to 12,000 words. As you progress to the masters level, the length expands to around 15,000 to 25,000 words. Finally, for those aiming for the coveted PhD degree, the dissertation can extend further, ranging from 60,000 to 100,000 words or more.

But hold on! Before you start panicking about the sheer number of words, remember that quality triumphs over quantity. The goal of a dissertation is not simply to reach a specific word count, but rather to demonstrate your expertise and contribute to the knowledge base of your field.

Why Length Varies

The variation in dissertation length across academic levels is influenced by several factors. Undergraduates often exploring their research skills for the first time, while masters students delve deeper into their chosen discipline. PhD candidates are expected to produce extensive original research, making their dissertations more comprehensive.

Keep in mind that these length ranges are not set in stone. Your university or department might have specific guidelines, so it’s essential to familiarise yourself with their requirements. Additionally, the nature of your research topic and the expectations of your advisor will influence the final length.

Embrace the Journey On How Long Is A Dissertation

As you embark on your dissertation adventure, remember that it’s not just about meeting a word count. Your dissertation is an opportunity to delve into a subject you are passionate about, contribute new insights, and make your mark in the academic world. Stay focused, manage your time wisely, and seek guidance from your mentors.

So, dear students, fear not the length of your dissertation. Instead, channel your energy into producing a well-crafted, impactful piece of research. Now that we’ve set the stage, let’s dive into the chapters that make up a dissertation and explore their respective lengths.

Get ready to unleash your academic prowess!

Abstract: Unveiling the Essence of Your Dissertation

An abstract is a concise summary that captures the essence of your entire dissertation. It serves as a preview, enticing readers to delve deeper into your research. Think of it as a miniaturised version of your dissertation, highlighting the key aspects and findings in a condensed format.

Undergraduate

For undergraduate dissertations, abstracts are typically around 150 to 300 words . This limited word count requires a focused approach, emphasising the main research objective, methodology, and significant results.

As you move to the master’s level, abstracts expand to around 200 to 500 words . This allows for a more detailed overview of the research problem, methodology, findings, and conclusions.

At the PhD level, abstracts become more comprehensive, ranging from 300 to 600 words or more . These abstracts often include additional elements such as theoretical frameworks, research contributions, and future implications.

The purpose of an abstract is to provide a succinct snapshot of your research, enticing readers to explore further. So, craft your abstract carefully, ensuring it captures the essence of your dissertation and enthrals your audience.

Now that we’ve uncovered the significance and lengths of abstracts, let’s delve into the chapters that form the backbone of your dissertation.

Chapter 1: Introduction: Paving the Path for Your Research

The introduction serves as a roadmap for your dissertation, captivating readers and guiding them through your research journey. There is no need to worry about how to write a dissertation introduction , as we have got you covered on this. Tailor your introduction to your academic level, demonstrating a clear understanding of the subject matter and setting the foundation for your subsequent chapters.

For undergraduate dissertations, the introduction typically ranges from 500 to 1,000 words . In this concise yet informative section, you’ll present the research problem, provide background information, and clearly state your research objectives.

If you are at a master’s level, the introduction expands to approximately 1,000 to 2,000 words . This allows for a more comprehensive exploration of the research topic, including a review of relevant literature and the identification of research gaps.

For PhD dissertations, the introduction further expands, ranging from 2,000 to 4,000 words . This extensive section encompasses a thorough literature review, establishing the theoretical framework, and outlining the research questions with detailed justifications.

Chapter 2: Literature Review: Building on the Foundations of Knowledge

The Literature Review chapter is a critical component of your dissertation, showcasing your understanding of existing research and theoretical frameworks. It showcases your ability to synthesise and analyse existing knowledge, positioning your research within the broader scholarly conversation. Let’s have a look at

For undergraduate dissertations, the literature review typically spans around 1,500 to 3,000 words . This section focuses on introducing key concepts, providing an overview of relevant studies, and identifying gaps in the existing literature.

At the master’s level, the literature review expands to approximately 3,000 to 6,000 words . Here, you’re expected to demonstrate a deeper understanding of the subject, critically analyse existing research, and highlight the theoretical frameworks that inform your study.

For PhD students, the literature review goes further, ranging from 6,000 to 10,000 words or more . This extensive section involves an in-depth exploration of scholarly work, demonstrating your expertise in the field and presenting a comprehensive overview of the research landscape.

Chapter 3: Methodology: Unveiling Your Research Approach

The Methodology chapter outlines the research design, data collection methods, and analytical techniques employed in your dissertation. It demonstrates your ability to conduct rigorous research and ensures the validity and reliability of your findings. Here is the description of the length of the most significant methodology chapter on the basis of your academic level.

If you are wondering how many words is a masters dissertation methodology chapter, we have got you covered. It is about 1,500 to 3,000 words . This allows for a more detailed description of your research approach, including the rationale behind your chosen methods and a discussion of any ethical considerations.

The Methodology chapter is from 3,000 to 6,000 words or more . This comprehensive section entails a thorough explanation of your research design, data collection procedures, sampling strategies, and advanced analytical techniques.

Chapter 4: Analysis, Results & Discussion: Unveiling the Insights

As we carry on to understand how many words in a dissertation. The next chapter inline is the Analysis, Results & Discussion chapter where you have the opportunity to present and interpret the findings of your research. The length of this chapter can vary depending on the complexity of your study and the depth of analysis required.

The Analysis, Results & Discussion section goes around 1,000 to 2,000 words . As you go on to understand how long is a dissertation UK, here, you will present the key findings of your research, supported by relevant data and analysis. Engage in a critical discussion of these results, relating them back to your research questions and objectives.

At the master’s level, the Analysis, Results & Discussion chapter expands to approximately 2,000 to 4,000 words . Showcase a more detailed and in-depth analysis of your findings, employing advanced analytical techniques as appropriate. Discuss the implications of your results, considering their significance within the broader context of the field.

The Analysis, Results & Discussion chapter further expands, ranging from 4,000 to 8,000 words or more . Conduct a comprehensive analysis of your findings, providing a meticulous examination of the data. Engage in a rigorous discussion, critically evaluating the implications and contributions of your research to the field.

Chapter 5: Conclusion & Recommendation: Bridging the Gap and Charting New Paths

In the concluding chapter of your dissertation, you have the opportunity to tie together the threads of your research journey and provide valuable insights for future exploration. The length of the Conclusion & Recommendation chapter varies across academic levels, offering a platform to summarise your findings and propose meaningful recommendations.

For undergraduate dissertations, the Conclusion & Recommendation section typically encompasses around 500 to 800 words . Here, you concisely summarise the key findings of your study, highlighting their significance and relevance. Offer practical recommendations that emerge from your research, suggesting avenues for further investigation.

If you are willing to know how long is a masters dissertation when it comes to the Conclusion & Recommendation chapter. It goes to approximately 800 to 1,500 words . Here, you should reflect on the broader implications of your research, considering its impact on the field. Provide comprehensive recommendations that build upon your findings, guiding future research and applications.

The Conclusion & Recommendation chapter further increases, ranging from 1,500 to 2,500 words or more . In this chapter, you have to synthesise the extensive body of work you have conducted, emphasising its contributions to the field. Further, offer novel insights and recommendations, challenging existing paradigms and paving the way for future research breakthroughs. If you feel like it is still a challenging task for you, buy dissertation online with Crowd Writer and we will do it for you satisfactorily.

While Summing Up On How Long Is A Dissertation UK…

How long should a dissertation be? This is the first and foremost question students ask when they are up to writing it. Different chapters of the dissertation reflect different word counts on the basis of your academic level, i.e. undergraduate, masters, and PhD levels.

The blog post contains a chapter-to-chapter division of the word count for different academic levels. By understanding these chapter lengths, students can better navigate the dissertation writing process and create impactful research contributions within their academic journey.

Laura Brown, a senior content writer who writes actionable blogs at Crowd Writer.

Home > Blog > Tips for Online Students > Tips for Students > Dissertation Explained: A Grad Student’s Guide

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Dissertation Explained: A Grad Student’s Guide

Updated: June 19, 2024

Published: March 10, 2020

Higher education is filled with milestones. When completing your PhD , you will be required to complete a dissertation. Even if you’ve heard this word thrown around before, you still may be questioning “What is a dissertation?” It’s a common question, especially for those considering to join or are already in a graduate program. As such, here’s everything you need to know about dissertations.

What is a Dissertation?

A dissertation is a written document that details research. A dissertation also signifies the completion of your PhD program. It is required to earn a PhD degree, which stands for Doctor of Philosophy.

A PhD is created from knowledge acquired from:

1. Coursework:

A PhD program consists of academic courses that are usually small in size and challenging in content. Most PhD courses consist of a high amount and level of reading and writing per week. These courses will help prepare you for your dissertation as they will teach research methodology.

2. Research:

For your dissertation, it is likely that you will have the choice between performing your own research on a subject , or expanding on existing research. Likely, you will complete a mixture of the two. For those in the hard sciences, you will perform research in a lab. For those in humanities and social sciences, research may mean gathering data from surveys or existing research.

3. Analysis:

Once you have collected the data you need to prove your point, you will have to analyze and interpret the information. PhD programs will prepare you for how to conduct analysis, as well as for how to position your research into the existing body of work on the subject matter.

4. Support:

The process of writing and completing a dissertation is bigger than the work itself. It can lead to research positions within the university or outside companies. It may mean that you will teach and share your findings with current undergraduates, or even be published in academic journals. How far you plan to take your dissertation is your choice to make and will require the relevant effort to accomplish your goals.

Moving from Student to Scholar

In essence, a dissertation is what moves a doctoral student into becoming a scholar. Their research may be published, shared, and used as educational material moving forwards.

Thesis vs. Dissertation

Basic differences.

Grad students may conflate the differences between a thesis and a dissertation.

Simply put, a thesis is what you write to complete a master’s degree. It summarizes existing research and signifies that you understand the subject matter deeply.

On the other hand, a dissertation is the culmination of a doctoral program. It will likely require your own research and it can contribute an entirely new idea into your field.

Structural Differences

When it comes to the structure, a thesis and dissertation are also different. A thesis is like the research papers you complete during undergraduate studies. A thesis displays your ability to think critically and analyze information. It’s less based on research that you’ve completed yourself and more about interpreting and analyzing existing material. They are generally around 100 pages in length.

A dissertation is generally two to three times longer compared to a thesis. This is because the bulk of the information is garnered from research you’ve performed yourself. Also, if you are providing something new in your field, it means that existing information is lacking. That’s why you’ll have to provide a lot of data and research to back up your claims.

Your Guide: Structuring a Dissertation

Dissertation length.

The length of a dissertation varies between study level and country. At an undergraduate level, this is more likely referred to as a research paper, which is 10,000 to 12,000 words on average. At a master’s level, the word count may be 15,000 to 25,000, and it will likely be in the form of a thesis. For those completing their PhD, then the dissertation could be 50,000 words or more.

Photo by  Louis Reed  on  Unsplash

Format of the dissertation.

Here are the items you must include in a dissertation. While the format may slightly vary, here’s a look at one way to format your dissertation:

1. Title page:

This is the first page which includes: title, your name, department, degree program, institution, and submission date. Your program may specify exactly how and what they want you to include on the title page.

2. Acknowledgements:

This is optional, but it is where you can express your gratitude to those who have helped you complete your dissertation (professors, research partners, etc.).

3. Abstract:

The abstract is about 150-300 words and summarizes what your research is about. You state the main topic, the methods used, the main results, and your conclusion.

4. Table of Contents

Here, you list the chapter titles and pages to serve as a wayfinding tool for your readers.

5. List of Figures and Tables:

This is like the table of contents, but for graphs and figures.

6. List of Abbreviations:

If you’ve constantly abbreviated words in your content, define them in a list at the beginning.

7. Glossary:

In highly specialized work, it’s likely that you’ve used words that most people may not understand, so a glossary is where you define these terms.

8. Introduction:

Your introduction sets up the topic, purpose, and relevance. It’s where readers will understand what they expect to gain from your dissertation.

9. Literature Review / Theoretical Framework:

Based on the research you performed to create your own dissertation, you’ll want to summarize and address the gaps in what you researched.

10. Methodology

This is where you define how you conducted your research. It offers credibility for you as a source of information. You should give all the details as to how you’ve conducted your research, including: where and when research took place, how it was conducted, any obstacles you faced, and how you justified your findings.

11. Results:

This is where you share the results that have helped contribute to your findings.

12. Discussion:

In the discussion section, you explain what these findings mean to your research question. Were they in line with your expectations or did something jump out as surprising? You may also want to recommend ways to move forward in researching and addressing the subject matter.

13. Conclusion:

A conclusion ties it all together and summarizes the answer to the research question and leaves your reader clearly understanding your main argument.

14. Reference List:

This is the equivalent to a works cited or bibliography page, which documents all the sources you used to create your dissertation.

15. Appendices:

If you have any information that was ancillary to creating the dissertation, but doesn’t directly fit into its chapters, then you can add it in the appendix.

Drafting and Rewriting

As with any paper, especially one of this size and importance, the writing requires a process. It may begin with outlines and drafts, and even a few rewrites. It’s important to proofread your dissertation for both grammatical mistakes, but also to ensure it can be clearly understood.

It’s always useful to read your writing out loud to catch mistakes. Also, if you have people who you trust to read it over — like a peer, family member, mentor, or professor — it’s very helpful to get a second eye on your work.

How is it Different from an Essay?

There are a few main differences between a dissertation and an essay. For starters, an essay is relatively short in comparison to a dissertation, which includes your own body of research and work. Not only is an essay shorter, but you are also likely given the topic matter of an essay. When it comes to a dissertation, you have the freedom to construct your own argument, conduct your own research, and then prove your findings.

Types of Dissertations

You can choose what type of dissertation you complete. Often, this depends on the subject and doctoral degree, but the two main types are:

This relies on conducting your own research.

Non-empirical:

This relies on studying existing research to support your argument.

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More things you should know.

A dissertation is certainly no easy feat. Here’s a few more things to remember before you get started writing your own:

1. Independent by Nature:

The process of completing a dissertation is self-directed, and therefore can feel overwhelming. However, if you approach it like the new experience that it is with an open-mind and willingness to learn, you will make it through!

2. Seek Support:

There are countless people around to offer support. From professors to peers, you can always ask for help throughout the process.

3. Writing Skills:

The process of writing a dissertation will further hone your writing skills which will follow you throughout your life. These skills are highly transferable on the job, from having the ability to communicate to also developing analytical and critical thinking skills.

4. Time Management:

You can work backwards from the culmination of your program to break down this gargantuan task into smaller pieces. That way, you can manage your time to chip away at the task throughout the length of the program.

5. Topic Flexibility:

It’s okay to change subject matters and rethink the point of your dissertation. Just try as much as possible to do this early in the process so you don’t waste too much time and energy.

The Wrap Up

A dissertation marks the completion of your doctoral program and moves you from being a student to being a scholar. While the process is long and requires a lot of effort and energy, you have the power to lend an entirely new research and findings into your field of expertise.

As always, when in the thick of things, remember why you started. Completing both your dissertation and PhD is a commendable accomplishment.

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What Is The Average Dissertation Length?

There is no one-size-fits-all answer when it comes to answering the question, “How long should my dissertation be?”. However, the standard is as follows. 

Table of Contents

Shorter Dissertations

Some fields or programs may have shorter dissertation requirements, particularly in disciplines where the research tends to be more focused or where a shorter document suffices to convey the research findings. In such cases, dissertations might range from 50 to 100 pages or even shorter.

Average-Length Dissertations

For many doctoral programs, particularly in the humanities, social sciences, and some STEM fields, the average dissertation length falls between 150 and 300 pages . This length allows for a thorough exploration of the research top ic , a review of literature , methodology, data analysis, and a discussion of findings.

Longer Dissertations

In certain scientific or technical fields and interdisciplinary studies, dissertations can be longer, ranging from 300 to 500 pages or more. These longer dissertations often involve extensive data collection, complex analyses, multiple experiments or case studies, and detailed discussion of results and implications.

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Factors Affecting Dissertation Length

There are a number of factors that contribute to the length, including

Field of Study

Your dissertation depends on your discipline. Humanities and social sciences usually have a lower average word count compared to sciences and engineering because the latter requires extensive data analysis and experimentation. 

University Requirements

Most universities have certain specific guidelines influenced by department and faculty expectations. It is important to go through them before you start writing. 

Research Methodology

The complexity of the research design and methodology can impact the length. Dissertations having comprehensive data collection might need additional space for detailed justification. 

Literature Review

Depending on how novel your research topic is, the length of your literature review varies. If there is a lot of research done on your variables, your dissertation will be longer. 

Frequently Asked Questions

Can a dissertation exceed recommended length.

Yes, but ensure all content is relevant and contributes meaningfully to the research.

How can I manage dissertation length effectively?

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What is an Undergraduate Dissertation?

While most discussions of ‘dissertations’ focus on postgraduate study, undergraduate students also frequently complete undergraduate dissertations as one part of their overall degree. This article will provide an overview of the undergraduate dissertation and its standard requirements at UK universities.

What is a Bachelor’s or Undergraduate Dissertation?

An undergraduate dissertation (or Bachelors dissertation) is essentially an extended piece of research and writing on a single subject. It is typically completed in the final year of a degree programme and the topic is chosen based on a student’s own area of interest. It allows the student to explore a narrow topic in greater depth than a traditional module. The student works with a single supervisor chosen from their departmental faculty, and this individual provides guidance and support throughout the course of the research.

How does Undergraduate Dissertation differ from Postgraduate Dissertation?

The bachelor’s dissertation varies significantly from postgraduate dissertations. First, it is considerably shorter in length, averaging only 10,000 – 15,000 words. While this is much shorter than a Masters or PhD dissertation, it is much longer than any other piece of writing required in undergraduate programmes.

Secondly, the undergraduate dissertation is not required to contain the same level of originality as postgraduate work. Students are still expected to complete the work independently and cite all sources, but they do not need to present any new ideas. It is sufficient to conduct thorough, sustained research and present a critical discussion of a relatively narrow research topic. It is not necessary to discuss the philosophical context of the research or to design a distinct methodology. However, it is important to note that the best bachelor’s dissertations demonstrate genuine critical thinking skills and an ability to combine information derived from many different sources.

Finally, the undergraduate dissertation also varies in the type of research conducted, which will be more focused on texts and documents rather than active field research. For the most part students will examine secondary sources or easily accessible primary sources, and they will not be required to pursue obscure or costly data sources. In some disciplines a practical element may be incorporated into the dissertation, but this is usually performed with less independence than would be expected at the postgraduate level.

Undergraduate Dissertation Requirements

• Topic selection : At the end of the penultimate year of study students will be asked to select an area of research for the dissertation. You should be sure to choose a topic that is likely to hold your interest over a long period of time, as it is difficult and dangerous to change your topic once your research period has begun.
• Finding a supervisor : Depending on the university, there may be a formal process in place for allocating supervisors or students may simply approach a member of faculty that they are interested in working with. It can be helpful to meet with potential supervisors before registering an intended research area, as they can help you to refine your proposed topic and give you suggestions for specific research questions. Once the formal dissertation period begins you will meet with your supervisor regularly to discuss your progress and refine your study.
• Early research : Most students begin general reading around their chosen subject area in the summer before the final year. This period is truly key in developing a broad awareness of the subject, and it prepares you for more targeted research once your final year commences.
• Research outline : Once the undergraduate dissertation module begins (usually at the start of year 3) you will be asked to draft a brief dissertation outline of about 2-3 pages in length. This should include a summary of  chapters  and a full bibliography. By now you should have decided upon a narrower aspect of your topic, and this should be formulated into a research title with the help of your supervisor.
• Refined research and writing : At this stage, your research will be much more targeted, in order to pursue your proposed dissertation agenda. You should also begin writing as soon as possible. Most departments require students to submit a substantial piece of writing (3,000-5,000 words) by the end of the first term. Remember that you should submit at least one draft to your supervisor before this deadline, in order to give you time to make necessary revisions.
• Final dissertation : When you’ve completed the writing process you should have roughly three or four chapters, as well as an Introduction and Conclusion. It must all be formatted according to university guidelines, and you must be certain to properly cite all if your sources.
• Binding and submission : Unlike undergraduate essays, the undergraduate dissertation must be professionally bound before being submitted. This is usually done on campus but you need to allow enough time for the process before your submission deadline. The final due date is usually at the end of the second term of the student’s final year.

The marking system for undergraduate dissertations is the same that is used for all other aspects of the undergraduate degree. Students must generally achieve a minimum mark of 40 to pass, but most will aspire to higher marks than this. Marks of 60-69 earn a classification of 2:1 or B; Marks over 70 earn a First classification or A.

The dissertation is marked as a stand-alone module and it is combined with other module marks to determine the overall degree classification. There is no standard rule for UK universities regarding the weight of the dissertation mark when calculating the degree average, so it’s best to check with your university to understand their individual regulations.

For many students, the undergraduate dissertation provides their first taste of prolonged independent research. This can be a daunting experience but it is helpful to remember that your departmental supervisor can be called upon frequently for advice and support. If you work at a consistent and dedicated pace you will have no problem completing the dissertation on time. You will also develop important research skills that can prepare you for postgraduate study.

Bryan Greetham, 2009. How to Write your Undergraduate Dissertation (Palgrave Study Skills). Edition. Palgrave Macmillan.

Manchester Metropolitan University, 2008. Guidance on the Writing of Undergraduate Dissertations. Available: http://www.ioe.mmu.ac.uk/cpd/downloads/UNDERGRAD%20DISSERTATION%20HANDBOOK.pdf. Last accessed 08 Apr 2013.

University of Warwick, 2010. Dissertation Guidelines for Undergraduate Study. Available: http://www2.warwick.ac.uk/study/cll/currentstudents/undergraduatemodules/ce302dissertation/dissertation_guidelines_2010.pdf. Last accessed 08 Apr 2013. Nicholas Walliman, 2004. Your Undergraduate Dissertation: The Essential Guide for Success (SAGE Study Skills Series). 1 Edition. SAGE Publications Ltd.

Exploring: How Long is an Undergraduate Thesis?

Have you ever wondered how long an undergraduate thesis is? In this article, we will unravel the mystery and shed light on the typical length of an undergraduate thesis. Let’s dive in!

An undergraduate thesis is typically between 10 and 20 double-spaced pages, excluding tables, figures, and references.

• It follows the format of a scientific article , including sections such as abstract, introduction, methods, results, discussion, references, and tables/figures.
• The thesis should fully develop ideas , present data , and discuss the implications of the work.
• Master’s theses are longer, ranging from 60 to 100 pages, while doctoral dissertations can be at least 90 pages and upwards of 200 pages.
• The length of the thesis or dissertation can depend on various factors, including the faculty’s instructions , the topic’s technicalities, and the extent of research conducted .
• Adhering to the guidelines provided by the university and the professor supervising the project is crucial.

Understanding the Average Length of an Undergraduate Thesis

The average length of an undergraduate thesis can vary, but typically falls between 10 and 20 double-spaced pages, excluding tables, figures, and references. It is important to note that this range serves as a general guideline and may vary depending on the specific requirements of the university or department. However, adhering to this recommended length ensures that the thesis is comprehensive enough to fulfill its objectives while still maintaining a concise and focused approach.

An undergraduate thesis is a research paper that follows the format of a scientific article . It consists of various sections, including an abstract, introduction, methods, results, discussion, references, and tables/figures. Each section plays a vital role in presenting the research study in a structured and coherent manner.

To fully develop ideas and present data effectively, it is crucial to devote sufficient space within the thesis. The length should allow for a detailed exploration of the topic, a comprehensive analysis of the research methodology employed, and a thorough discussion of the findings. Additionally, the implications of the work should be discussed to demonstrate its significance and potential impact on the field of study.

While undergraduate theses are typically shorter in length than master’s theses and doctoral dissertations, it is important to note the distinctions between them. Master’s theses can range from 60 to 100 pages, providing more room for in-depth research and analysis. On the other hand, doctoral dissertations can span at least 90 pages, and in some cases, exceed 200 pages, as they require a more extensive exploration of the topic.

Factors Influencing Thesis Length

The length of an undergraduate thesis can be influenced by various factors. Firstly, the faculty’s instructions play a significant role in determining the expected page count. Therefore, it is essential to carefully review the guidelines provided and understand the specific requirements set by the university or department.

Secondly, the technicalities of the topic being researched can impact the length of the thesis. Some subjects may necessitate a more extensive discussion and analysis, resulting in a longer document. Conversely, less complex topics may require a more concise presentation.

Lastly, the extent of research conducted can also influence the length of the undergraduate thesis. In-depth studies that involve extensive data collection, experimentation, or fieldwork may require a more substantial presentation of findings, leading to a longer thesis.

In summary, the average length of an undergraduate thesis typically falls between 10 and 20 double-spaced pages, excluding tables, figures, and references. The thesis should follow the format of a scientific article and fully develop ideas , present data , and discuss the implications of the work. The length of the thesis can vary depending on the faculty’s instructions , the technicalities of the topic, and the extent of research conducted . Adhering to the guidelines provided by the university and the professor supervising the project is crucial to ensure the successful completion of the undergraduate thesis.

Following the Format of a Scientific Article

Much like a scientific article, an undergraduate thesis consists of various sections, such as an abstract, introduction, methods, results, discussion, references, and tables/figures. Each section serves a specific purpose in presenting the research and its findings. The following table provides an overview of the sections typically included in an undergraduate thesis:

These sections work together to provide a comprehensive and organized framework for the research. It is essential to adhere to the guidelines and formatting requirements provided by the university and the professor supervising the project . Following the format of a scientific article ensures that the thesis is well-structured and effectively communicates the research process and outcomes.

Fully Developing Ideas and Presenting Data

A crucial aspect of an undergraduate thesis is the ability to fully develop ideas and present data in a clear and concise manner. This requires thoughtful analysis, effective organization, and meticulous attention to detail. By fully developing ideas, students can showcase their understanding of the research topic and demonstrate critical thinking skills. This involves presenting a comprehensive and logical argument, supported by relevant evidence and examples.

One effective way to present data in an undergraduate thesis is through the use of tables and figures. Tables can help organize and summarize complex information, making it easier for readers to grasp the key findings or trends. Similarly, figures such as charts or graphs can visually represent data, enhancing its comprehension and impact. When using tables and figures, it is important to label and caption them appropriately, providing clear explanations of the presented data.

Furthermore, incorporating quotes from reputable sources can strengthen the credibility of an undergraduate thesis. Quoting experts in the field or citing relevant studies can add depth and support to the arguments being made. When including quotes, it is essential to attribute them correctly and provide proper citations following the specified referencing style.

Example Table:

By fully developing ideas and presenting data effectively, students can create a compelling undergraduate thesis that showcases their research skills and contributes to the academic discourse in their field.

An undergraduate thesis should not only present data but also discuss the implications of the research and its potential impact. This section is crucial as it allows the writer to delve deeper into the significance of their findings and provide relevant context to their work. By discussing the implications, the writer demonstrates a thorough understanding of the subject matter and how it relates to the broader academic community.

“The implications of this study suggest that further research is needed to explore the long-term effects of X on Y,” says Dr. Jane Smith, a renowned expert in the field. “These findings have the potential to revolutionize current practices and pave the way for innovative solutions.”

Furthermore, discussing the implications allows the writer to showcase their critical thinking skills, analytical abilities, and their ability to draw connections between their research and real-world applications. It also provides an opportunity to address any limitations or constraints that may have influenced the results, offering suggestions for future research.

Table: Implications of the Research

In conclusion, the implications and discussion section of an undergraduate thesis not only highlights the importance of the research findings but also provides an opportunity for the writer to showcase their intellectual rigor and contribute to their respective field of study.

The time required to complete an undergraduate thesis can vary depending on various factors such as the project’s complexity, the level of research involved, and individual circumstances. Unlike shorter assignments, an undergraduate thesis demands a more substantial commitment of time and effort. It is essential to allocate sufficient time to conduct thorough research, analyze data, and fully develop ideas. Rushing through the process may compromise the quality of the work.

On average, it can take anywhere from several months to a year to complete an undergraduate thesis. The duration is influenced by factors such as the scope of the research, the availability of resources, and the student’s familiarity with the topic. It is advisable to start the thesis early, allowing ample time for literature review, experimentation, and drafting the final document.

It is crucial to establish a realistic timeline and set achievable milestones to ensure timely progress. Regular communication and collaboration with the thesis advisor or professor can help in better managing the workload and staying on track. These mentors can provide guidance, offer feedback, and help navigate any challenges that may arise during the research process.

Ultimately, the amount of time required to complete an undergraduate thesis will depend on the individual’s dedication, organization, and ability to manage competing commitments. By carefully planning and executing each stage of the thesis, students can successfully navigate the research journey and produce a high-quality piece of work.

Factors Affecting the Time Required

• The complexity of the research question or topic
• The extent of data collection and analysis required
• The availability of resources and access to relevant literature
• The student’s prior knowledge and familiarity with the subject
• External commitments, such as part-time jobs or extracurricular activities

By considering these factors and planning accordingly, students can better estimate the time needed to complete their undergraduate thesis and ensure a successful research experience.

Table: Comparison of the lengths of undergraduate, master’s, and doctoral theses.

In summary, completing an undergraduate thesis requires careful planning, dedication, and effective time management. The time required can vary based on factors such as the project’s complexity, scope of research, and individual circumstances. By allocating sufficient time, staying organized, and seeking guidance when needed, students can successfully complete their undergraduate thesis and contribute valuable research to their field.

Faculty Guidelines and Supervision

To ensure a successful undergraduate thesis, it is essential to adhere to the guidelines provided by the university and follow the instructions of the professor supervising the project. The faculty’s instructions serve as a roadmap, guiding you through the process and ensuring that you meet the necessary requirements.

Your professor, as the project supervisor, plays a crucial role in providing guidance, support, and feedback throughout the thesis journey. They will offer valuable insights, help shape your research questions, and provide direction on the methodology and analysis. Regular meetings with your professor will allow for discussions, revisions, and clarifications, ultimately refining your work to meet the academic standards.

Moreover, your professor can offer expertise in your specific field of study, helping you navigate through any challenges that may arise. Their knowledge and experience will contribute to the development of your thesis, ensuring that it aligns with current research and scholarly expectations.

Faculty Guidelines and Project Success

The adherence to faculty guidelines and the close supervision of your professor are key factors in the success of your undergraduate thesis. By following these guidelines and seeking regular input from your supervisor, you will be well-positioned to produce a high-quality thesis that meets the academic standards set by your university and faculty.

References:

Comparing Undergraduate, Master’s, and Doctoral Theses

While undergraduate theses typically range between 10 and 20 pages, master’s theses can be longer, usually ranging from 60 to 100 pages, while doctoral dissertations can span at least 90 pages and sometimes even exceed 200 pages. The length of these academic papers varies based on the level of the degree being pursued.

Master’s theses require a more extensive exploration of the chosen topic compared to undergraduate theses. This is why they tend to have a higher page count. With more research conducted and a deeper analysis of the subject matter, the length of a master’s thesis increases to accommodate the additional details and findings.

Doctoral dissertations, on the other hand, are the longest of the three. They involve in-depth research and original contributions to the field of study, necessitating a larger volume of content. Doctoral students are expected to delve into their subjects extensively, conducting extensive research, experiments, and overall comprehensive analyses. Consequently, their dissertations tend to have a substantial page count to encompass all the research conducted and the insights gained.

It is important to keep in mind that these page counts are general guidelines and can vary depending on the specific requirements of individual institutions and programs. However, understanding the typical length of undergraduate, master’s, and doctoral theses provides students with a sense of the level of detail and breadth expected at each stage of their academic journey.

The length of an undergraduate thesis can be influenced by various factors, including the technical complexities of the topic chosen and the extent of research conducted. When exploring a complex subject matter with intricate technicalities, it often requires a more comprehensive analysis and explanation, leading to a longer thesis. On the other hand, a less complex topic may allow for a more concise presentation.

The volume of research conducted is another key factor. Extensive research often leads to a greater amount of data and information that needs to be incorporated into the thesis, resulting in a longer document. In contrast, limited research may yield a shorter thesis.

It is important to note that while there may be some guidelines or expectations regarding thesis length, these factors can vary depending on the specific requirements of the faculty and university. Some institutions may have specific page count requirements, while others may prioritize the quality and depth of research over the length. It is crucial for students to familiarize themselves with the guidelines provided by their respective faculties and to consult with their professors for guidance and clarification.

Table 1: Comparison of Undergraduate, Master’s, and Doctoral Theses Length

The table above provides a general overview of the expected page lengths for undergraduate, master’s, and doctoral theses. While these are typical ranges, it is important to note that the actual length can still vary depending on other factors discussed earlier.

The image above serves as a visual representation of the complex technicalities that can influence the length of an undergraduate thesis, highlighting the need for thorough research and analysis.

In conclusion, the length of an undergraduate thesis typically ranges between 10 and 20 double-spaced pages, excluding tables, figures, and references, and should be sufficient to fully develop ideas, present data, and discuss the implications of the work.

An undergraduate thesis follows the format of a scientific article, including sections such as abstract, introduction, methods, results, discussion, references, and tables/figures. These sections provide a structured framework for presenting research findings and analyzing their significance.

While the length of an undergraduate thesis may seem shorter compared to master’s theses and doctoral dissertations, which can be at least 60 pages and upwards of 90 pages respectively, it is important to note that the focus of an undergraduate thesis is on presenting a comprehensive exploration of a specific topic within a limited scope.

When working on an undergraduate thesis, it is crucial to adhere to the guidelines provided by the university and the professor supervising the project. These guidelines may include specific instructions regarding page count, formatting, and content requirements. By following these guidelines and conducting thorough research, students can produce a well-structured and impactful undergraduate thesis.

How long is an undergraduate thesis?

What format does an undergraduate thesis follow.

An undergraduate thesis follows the format of a scientific article, including sections such as abstract, introduction, methods, results, discussion, references, and tables/figures.

What should an undergraduate thesis accomplish?

An undergraduate thesis should fully develop ideas, present data, and discuss the implications of the work.

How long does it take to complete an undergraduate thesis?

The time required to complete an undergraduate thesis can vary, but it typically depends on the topic’s technicalities and the extent of research conducted.

How important is it to adhere to faculty guidelines and supervision?

It is crucial to adhere to the guidelines provided by the university and the professor supervising the project to ensure the successful completion of an undergraduate thesis.

How does the length of an undergraduate thesis compare to master’s and doctoral theses?

Undergraduate theses are typically shorter, ranging from 10-20 pages, while master’s theses can be 60-100 pages and doctoral dissertations can exceed 200 pages.

What factors can influence the length of an undergraduate thesis?

The length of an undergraduate thesis can be influenced by various factors, including the technicalities of the topic and the extent of research conducted.

Source Links

• https://blogs.studentlife.utoronto.ca/lifeatuoft/2020/12/10/my-experience-writing-an-undergraduate-thesis/
• https://publichealth.berkeley.edu/wp-content/uploads/2019/12/Honors-Thesis-Guide-2019.pdf
• https://gradebees.com/thesis-dissertation-length/

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• Formatting Your Dissertation
• Introduction

Harvard Griffin GSAS strives to provide students with timely, accurate, and clear information. If you need help understanding a specific policy, please contact the office that administers that policy.

• Application for Degree
• Credit for Completed Graduate Work
• Ad Hoc Degree Programs
• Acknowledging the Work of Others
• Dissertation Advisory Committee
• Publishing Options
• Subject, Invention, and Patents
• Submitting Your Dissertation
• English Language Proficiency
• PhD Program Requirements
• Secondary Fields
• Year of Graduate Study (G-Year)
• Master's Degrees
• Grade and Examination Requirements
• Conduct and Safety
• Financial Aid
• Non-Resident Students
• Registration
• Residence Halls
• Student Groups

When preparing the dissertation for submission, students must meet the following minimum formatting requirements. The Registrar’s Office will review the dissertation for compliance and these formatting elements and will contact the student to confirm acceptance or to request revision. The Harvard Griffin GSAS resource on dissertation formatting best practices expands on many of the elements below.

Please carefully review your dissertation before submitting it to ProQuestETD. The Registrar’s Office will email you through ProQuest if they have identified major formatting errors that need correction. Students will be provided with a brief extended deadline to make only the requested formatting updates.  

• Embedded Fonts : If fonts are not embedded, non-English characters may not appear as intended. It is the student’s responsibility to make sure that fonts are embedded properly prior to submission. Instructions for embedding fonts can be found on the Dissertation Formatting Guidance resource .  
• Thesis Acceptance Certificate: A copy of the Thesis Acceptance Certificate (TAC) should appear as the first page. This page should not be counted or numbered. The TAC will appear in the online version of the published dissertation. The author name and date on the TAC and title page should be the same.  
• Title Page: The dissertation begins with the title page; the title should be as concise as possible and should provide an accurate description of the dissertation. The author name and date on the TAC and title page should be the same. Do not print a page number on the title page. It is understood to be page  i  for counting purposes only. 
• Abstract : An abstract, numbered as page  iii , should immediately follow the copyright page and should state the problem, describe the methods and procedures used, and give the main results or conclusions of the research. The abstract will appear in the online version of the dissertation and will be made available by ProQuest and DASH. There is no maximum word count for the abstract.  
• Preliminary pages (abstract, table of contents, list of tables, graphs, illustrations, and preface) should use small Roman numerals (i, ii, iii, iv, v, etc.). 
• All pages must contain text or images.  
• Count the title page as page i and the copyright page as page ii, but do not print page numbers on either page. 
• For the body of text, use Arabic numbers (1, 2, 3, 4, 5, etc.) starting with page 1 on the first page of text.
• Page numbers must be centered throughout the manuscript at the top or bottom. 
• Every numbered page must be consecutively ordered, including tables, graphs, illustrations, and bibliography/index (if included); letter suffixes (such as 10a, 10b, etc.) are not allowed. 
• It is customary not to have a page number on the page containing a chapter heading. Check pagination carefully. Account for all pages. 
• Copyright Statement: A copyright notice should appear on a separate page immediately following the title page and include the copyright symbol ©, the year of first publication of the work, and the name of the author: © [ year ] [ Author’s Name ]. All rights reserved. Alternatively, students may choose to license their work openly under a Creative Commons license. The author remains the copyright holder while at the same time granting upfront permission to others to read, share, and—depending on the license—adapt the work so long as proper attribution is given. (If a student chooses a Creative Commons license, the copyright statement must not include the “all rights reserved” disclaimer and should instead indicate the specific Creative Commons license.) Please note: The copyright statement applies only to the student’s own work; the copyright status of third-party material incorporated into the dissertation will not change. Do not  print a page number on the copyright page. It is understood to be page  ii  for counting purposes only. 
• Abstract 
• Table of Contents 
• Front Matter 
• Body of Text 
• Back Matter 

Students can refer to the resource on Dissertation Formatting Best Practice Resource for information on best practices for front and back matter

Individual academic programs may require additional formatting elements to meet the standards of a specific field or discipline. Students are responsible to ensure that their Dissertation Advisory Committee is in support of the final formatting as signified by the sign off on the Thesis Acceptance Certificate. Any deviation from these requirements may lead to rejection of the dissertation and delay in the conferral of the degree. 

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How Long Is a Dissertation? Here’s the Average Length

How long is a dissertation? This is a question that you’re likely to ask if you’ve just enrolled for a doctoral program. But, this question is not new because other students have asked it too. Perhaps, the simplest answer to this question is that a dissertation should be sufficiently long to answer the stated question satisfactorily.

How Long Is a Dissertation?

There is no single answer to the question of a doctoral dissertation length. But most dissertations are on average 100-200 pages long. Somebody can say it should be 146 pages while somebody else can say 90 pages. Another person can say it should be 200 pages. Essentially, the length of this important academic document should depend on the topic, writing style, and goals of the writer.

Universities require students to write dissertations when pursuing masters and PhD degree programs. This paper forms an invaluable part of these academic programs in reputable learning institutions. As such, most undergraduate students are worried about the length of this document because it forms an important aspect of their academic life.

There are generally practical suggestions about how long should a dissertation be. For instance, the areas that your dissertation project focuses on should influence its length. For instance, a dissertation on a history topic will most likely be longer than an average dissertation on a chemistry topic. That means your academic discipline will influence the length of your dissertation.

How Long Is a PhD Dissertation?

Most academicians say that a PhD dissertation length should not exceed 80, 000 words . Thus, your text should be near this length. This word count includes the appendices while excluding references, footnotes, and bibliography. The footnotes of a dissertation shouldn’t exceed 20% of the text.

Students are discouraged from including discursive footnotes. What’s more, they should not use footnotes to include materials that should be in their main text. Doing so would circumvent the average length of the dissertation.

The statistical tables of a dissertation are counted as around 150 words each . But, the Degree Committee can allow learners to exceed the limits after application and under exceptional situations. Therefore, students should apply for this exception early before the date they propose to submit their thesis. The Graduate Committee evaluates the application and decides whether to allow the student to alter the average dissertation length.

The committee considers the dissertation proposal, as well as, a signed statement attesting to their proposed dissertation length. If they don’t and their dissertation exceeds the average length, it will be referred back for revision before it is forwarded to the institution’s examiners.

Average Dissertation Length

Many factors should generally be considered when answering the question of how long is a PhD dissertation. However, students should limit their writing between 80,000 and 100,000 words . On average, this document should have around 204 pages. But, the average length of a PhD thesis also depends on the university and the specific subject.

Essentially, a university can set the requirements of a dissertation, including the length. Nevertheless, most institutions opt for around 100,000 words. Research has shown that STEM dissertations have a medium length of 159 pages. Non-STEM dissertations, on the other hand, have a medium length of about 223 pages. Thus, there is a significant difference in length between STEM and non-STEM dissertations.

How Long Is a Dissertation Chapter?

Another question that might be lingering in your mind is how long is a dissertation chapter? Well, this varies because each chapter is a separate section that should address something specific. If you include the right information succinctly and adequately, your final write-up should have the right length. So, how long is a doctoral dissertation in every section? Here is a rough estimate.

Introduction

This section of a dissertation should tell readers why the topic is important. It should also mention relevant facts about the topic. Essentially, the introduction should tell readers why you have chosen the topic or issue and what makes it relevant. On average, the introduction should be between 10 and 15 pages . This is a perfect size because it allows you to mention everything concisely. Focus on intriguing the audience without disclosing or revealing anything in detail. Thus, your dissertation introduction should be more of a teaser.

Literature review

This is the section where you analyze relevant sources that you have chosen for your paper. It should include only sources that can be used to write the dissertation. In this section, you analyze and point out the strengths and weaknesses of your chosen sources. The literature review should be between 20 and 25 pages long.

Methodology

The length of this part of a dissertation ranges from 10 to 15 pages . It focuses on the methods used to conduct the research. Here, you discuss the specific method and data-selection processes used. This section also includes ways of contacting the sample population, as well as, the gathered data. What’s more, the encountered challenges can be included.

This section of a dissertation should not exceed 10 pages . It features the list and clarification of the obtained findings. Research findings are mentioned alongside the hypotheses explicitly. For instance, you should state whether they were refuted or confirmed. This section should also include a conclusion for everything done as far as your investigation is concerned.

This is also called the discussion section. Its length should range between 15 and 20 pages . This is the section where you explain the implications of your research. Provide a current and bigger perspective regarding your research. What’s more, diversify the current evidence base regarding the topic. Also, provide recommendations while acknowledging limitations in this section.

So, how long is a dissertation chapter? Well, it boils down to factors of the topic, learning institution, and goals of the study. Each section varies in length based on the nature of the research conducted and gathered data.

But, exactly how long does a dissertation have to be? There is no clear answer to this question. However, psychology, history, communication, nursing, and management dissertation can be up to 300 pages long. Education, Environmental Health, and Political Science dissertations can be around 100 pages. Overall, this length is influenced by the nature of the conducted research and the data that must be included in the document.

How Long Should a Dissertation Proposal Be?

You’re no longer asking how long is a dissertation word count because this question has been answered. But, you probably want to know the length of its proposal. Well, there is no specific length for this document. However, it should be considered as a long, formal treatise.

Well, most faculties recommend between 15 and 20 pages . However, the length of a proposal should depend on factors like the problem to be pursued, reasons to address the problem, where the answers will come from, and why you will go for certain sources.

This document proposes the work to be done. The focus of this text should be on convincing the thesis committee of your faculty that you have a research question that’s worth pursuing. Thus, you must present a convincing document for your faculty to allow you to proceed with the dissertation writing project. So, how long should it be?

How Long Should a Dissertation Abstract Be?

Lastly, you may want to know how long the abstract section of your dissertation should be. This is a separate page of the entire document. It is a summary of the dissertation. It reports the outcomes and aims of the research. Essentially, readers should know what your document is all about by reading the abstract. As such, this section should be written at the end. It should state the research objectives, problem, methods, key results, and the conclusion.

The dissertation abstract length ranges between 150 and 300 words . But just like with the main sections of a dissertation, there is a strict limit on the number of words that can be included. Therefore, check with the journal or university for which you are writing the dissertation.

Dissertation Length Consulting: Expert Guidance

When it comes to the length of your dissertation, our dissertation consulting service is here to provide expert guidance. Wondering about the ideal length for your dissertation? Look no further! Our experienced team offers personalized assistance to help you navigate this aspect of your research. With our dissertation consulting services, you can ensure that your dissertation meets the required length while maintaining its academic rigor. Contact us today for valuable insights and support throughout your dissertation journey.

The Bottom Line

There is no specific number of words or pages that determine the length of any dissertation. Therefore, check with your university, faculty, or journal to know the specific requirements for your dissertation in terms of length.

after completing the dissertation. However, you should have a rough draft or use the proposal’s introduction as a template because it has most of the elements that you need.

Frequently Asked Questions – FAQ

How long is a dissertation should be.

The dissertation length, on average, is between 100 to 200 pages long. Nevertheless, a dissertation can be 146 pages or 96 pages long. The length depends on the goals of the writer, topic, and writing style.

What is the average length of the dissertation?

The length of the dissertations is from 100 to 200 pages. On average the dissertation should be at least 80 000 words . However, this depends on the scope, expertise, and knowledge in the field of study. Longer dissertation papers have more words with a relatively higher number of pages.

How long does it take to write a dissertation?

Writing a dissertation will depend on several considerations. The subject of study, such as chemistry, may take longer because of the logistics involved. On the other hand, a simple sociology dissertation may take one month.

How long is a Ph.D. dissertation have to be?

Ph.D. dissertation length does not exceed more than 80 000 words . Therefore, your paper should be within these limits. Note that these words do not include references, footnotes, and bibliography.

Richard Ginger is a dissertation writer and freelance columnist with a wealth of knowledge and expertise in the writing industry. He handles every project he works on with precision while keeping attention to details and ensuring that every work he does is unique.

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How Long Is a Dissertation? Everything You Need to Know

How long is a dissertation?

It’s a tricky question, indeed. Look:

The dissertation length depends on several factors: your major, type of research, institutional guidelines, and more. From the number of words and pages, to the proper length for every chapter—in this blog post, you’ll find the answers to all questions on the topic.

Don’t care to keep reading but have a “ write my dissertation for me ” request? Click on the link, and our specialists will help.

As for the rest of you, let’s get this show on the road!

Dissertation Length: Pitfalls to Know

When you start writing a dissertation, it’s critical to understand that this academic paper has no strictly prescribed length. But we can speak about the average dissertation length. It depends on many factors, including:

• Your study level
• Type of your research
• Number of chapters you’ll cover in your dissertations
• Specific institutional guidelines

The overall average dissertation length is around 10,000-12,000 words for undergraduates, 15,000-25,000 words for master’s degree students, and around 50,000 words at the Ph.D. level. Some dissertations, at 70,000–100,000 words,  look like massive books!

So, How Long Is a Dissertation?

A more common way to count a dissertation length is by number of pages, not words. 

When you craft a dissertation outline , you’ll see an approximate number of chapters for your future work. Each dissertation chapter also has a prescribed length (average), so you can count the number of pages for your document.

How long should a dissertation be ?

Let’s start with dissertations by the type of research you’ll do. Here are four types:

• Empirical involves collecting data from the real world (surveys, experiments, observations); the length of such dissertations ranges from 150 to 300 pages, depending on the depth of your collected data.
• Non-empirical , i.e., based on existing data; these dissertations are usually 100-250 pages long.
• Theoretical , which either develops new theories or analyzes existing ones; the length ranges from 120 to 270 pages, depending on the complexity of the theory and the depth of your exploration.
• A case study focuses on an in-depth analysis of one specific situation (case, individual, event) and provides detailed insights into it; the length here ranges from 130 to 300 pages, depending on the depth of the analyzed case.

How Many Pages Is a Dissertation?

Now that we know the average length by the type of research, let’s go on to another critical factor: your major.

Each discipline has its methodologies and expectations, which determine the research depth and the dissertation’s structure. For example, psychology dissertation topics and dissertation topics in education are often 150-250 pages. Papers in medicine can reach 350 pages, and dissertations in social sciences like history, literature, or philosophy have 400+ pages.

So, how long is a dissertation by major?

As you can see, the average page count for a dissertation is 250 pages. Another factor to consider is the number of chapters your document will have.

How Long Is a Dissertation? Let’s See by Chapters

If you look at psychology dissertation examples , you’ll see that the length of the entire document also depends on its author’s study level. It stands to reason that master’s will be shorter than Ph.D. dissertations.

A dissertation is a complex document with a highly organized structure. When writing, you include particular chapters, each with its own prescribed length. 

How long is a dissertation paper by chapters?

A dissertation abstract is a separate page of your document, summarizing the whole paper for the audience. It highlights your research problem, describes your objectives and methodology, and presents findings, specifying the importance of your research for a scientific community.

In plain English, it’s a mini-version of your dissertation for readers to understand if your dissertation is relevant to them.

Dissertation abstracts are 150-300 words on average for undergraduates. The master’s level requires a more detailed overview, so abstracts expand to 200-500 words. At the Ph.D. level, get ready to write 300-600 words per chapter.

Introduction

It’s the start of your document. Here, you gain readers’ interest and provide background information on your topic. You’ll share the scope and importance of the subject matter, terms related to the issue, and the hypothesis you’ll reveal through your research.

What about the length of this chapter?

• Undergraduate dissertation: 500-1,000 words
• Master’s: 1,000-2,000 words
• Ph.D. dissertations: 2,000-4,000 words

Literature Review

This chapter is a crucial element of all dissertations. It showcases your knowledge of theoretical frameworks and ability to synthesize and analyze existing research in conjunction with yours.

For undergraduate dissertations, write 1,500-3,000 words in your literature review. If master’s, expand it to 3,000-6,000 words.

Are you a Ph.D. dissertation writer ? Go further and present a comprehensive overview of scholarly work; write about 6,000-10,000 words for your literature review.

Methodology

This chapter describes your approach to the research, the data collection methods you used, and the analytical techniques you employed. It will showcase your ability to conduct research with valid and reliable findings to a supervisor.

The length of this chapter:

• Undergraduate: 800-1,500 words
• Master’s: 1,500-3,000 words
• Ph.D.: 3,000-6,000+ words 

Results, Analysis, and Discussion

In some institutional guidelines, this dissertation component goes as two separate chapters. Here, you present and interpret your research findings, support them with relevant analysis, and encourage a discussion about their contribution to the field.

This chapter will be 1,000-2,000 words long for undergraduate papers. At the master’s level, it expands to 2,000-4,000 words, and Ph.D. dissertations have 4,000-8,000 words or more.

This chapter is a summary of your research and a reflection of your findings. It gives a reader a clear understanding of your argument and proves how your research provides a new perspective to the existing scholarly work in your field of study.

How long is a dissertation conclusion?

• Undergraduate: 500-800 words
• Master’s: 800-1,500 words
• Ph.D. dissertations: 1,500-2,500+ words 

How Long Should a Dissertation Be?

Your dissertation is about content depth, not word count. While educational institutions provide length requirements, please note they are approximate: 

Don’t write for the word count; craft a concise document that covers all the necessary information without irrelevant digressions or repetitions.

How long is a dissertation? Yours will be enough with these writing tips:

• Remove ambiguous interpretations or those unrelated to your findings
• Eliminate idioms or any other sophisticated, lengthy phrases
• Say no to redundant adverbs and fancy adjectives
• Omit findings that lack data support
• Use tables to organize repetitive information in the text

Also, provide only the necessary background information and write clear sentences without nested phrases. This will help readers digest and understand your research and perspective.

Frequently Asked Questions

• How long are dissertations?

The overall length depends on several factors and varies across different fields and institutions. The average dissertation length is 200-250 pages.

• How long does a dissertation have to be?

There are no strict rules on dissertation length. Your institution will prescribe an approximate word (or page) count for this document, so use it as a guide to follow.

• How many pages is a dissertation?

It depends on your study level. Undergraduate dissertations are 10,000-12,000 words, and master’s are around 15,000-25,000. If you write or buy dissertation for a Ph.D., it will be 50,000 words or more.

• How long does it take to write a dissertation?

Dissertations are complex and substantial projects. They are lengthy papers based on your research, data analysis, and scientific contribution to the field. Given that, it can take from a few months to a year to write a dissertation, and some researchers spend years completing theirs.

How long is a dissertation? Consider your institution’s requirements, major, research type, and study level. The average length for a Ph.D. is 50,000 words (or 250 pages), but everything will depend on your topic and the depth of your research. Get ready to spend between six months and two to four years to complete a dissertation.

No time to write? Our professional essay writing service can help you complete the project within months. Don’t hesitate to ask!

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How Long Should a Dissertation Be?

(Last updated: 5 April 2024)

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We have helped 10,000s of undergraduate, Masters and PhD students to maximise their grades in essays, dissertations, model-exam answers, applications and other materials. If you would like a free chat about your project with one of our UK staff, then please just reach out on one of the methods below.

One of the most significant milestones for university students is the completion of a dissertation. This extensive research project serves as a culmination of their undergraduate or postgraduate studies, demonstrating mastery of the subject matter and the ability to conduct independent research. One common question students ask themselves before embarking on this academic journey is ‘How long should a dissertation be?’

Every university establishes its unique set of guidelines, but as a general rule, undergraduate dissertations commonly span between 8,000 and 10,000 words. On the other hand, for master's level dissertations, the specified word count typically falls within the range of 10,000 to 15,000 words. Various factors, however, contribute to determining the ideal length of an undergraduate and master’s dissertation. Read on to learn more.

University Guidelines

The first point of reference for any student undertaking a dissertation in the UK is the guidelines provided by their respective university. Different institutions may have specific requirements regarding the length of dissertations, and it is crucial for students to thoroughly review these guidelines. Universities often provide a recommended word count or page limit, serving as a baseline for students to structure their work.

As stated above, while guidelines vary, it is not uncommon for universities to suggest a word count range, typically between 8,000 and 10,000 words for an undergraduate dissertation and 10,000 and 15,000 words for a master's dissertation. For a PhD thesis, word count requirements can range between 70,000 to 100,000 words. However, it is important to note that these are general guidelines, and students should always refer to the specific requirements outlined by their institution.

Nature of the Research

The nature of the research being conducted plays a pivotal role in determining the length of a dissertation. Different disciplines may have distinct expectations regarding the depth and scope of research, influencing the overall length of the document. For instance, a dissertation in the humanities may lean towards a more extensive literature review , while a scientific or technical dissertation may focus on detailed methodologies and data analysis .

Moreover, the complexity of the research question and the methodology employed can impact the length of the dissertation. In-depth studies with complex research designs may necessitate a more extensive discussion and analysis, resulting in a longer document.

Depth of Analysis

The depth of analysis is a critical factor in determining the appropriate length of a dissertation. A well-researched and critically analysed dissertation is likely to be more comprehensive, requiring additional space for thorough exploration and discussion of findings. Conversely, a less intricate analysis may result in a shorter dissertation.

Students should strive for a balanced approach, ensuring that their analysis is comprehensive and aligns with the expectations of their academic discipline. This may involve consulting with advisors or mentors to gauge the appropriate depth of analysis for the chosen research topic.

Inclusion of Supporting Materials

In addition to the main body of the dissertation, students often include supporting materials such as appendices, tables, figures, and references. While these components contribute to the overall content and quality of the dissertation, they are not always included in the official word count.

Students should adhere to university guidelines regarding the inclusion and formatting of supporting materials. By doing so, they can present a more thorough and well-documented piece of research without inflating the official word count.

The Ideal Length for Your Dissertation

The length of a dissertation is influenced by various factors, including university guidelines, the nature of the research, the depth of analysis, and the inclusion of supporting materials. If you are embarking on your dissertation journey, make sure that you carefully navigate these considerations to produce a dissertation that not only meets the academic requirements but also reflects the depth of your research and analytical skills. By understanding and incorporating these factors, you can confidently determine the ideal length for your dissertation and contribute to the scholarly discourse within your chosen field.

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Dissertation Length: Optimal Length in Words and Pages

Optimal Dissertation Length

A dissertation is an academic research project that students must complete for their undergraduate or postgraduate degree. Through a dissertation, a student will be able to present their findings for the project they chose.

Also known as a thesis, the sole purpose of this project is to test the research capabilities that you have acquired during your time at the university. Even though tutors can offer some help, this research project is mostly independent. 

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What is the Best Dissertation Length?

There is no specific length for a dissertation research paper. For starters, there are factors such as the discipline that will determine the type and length of a dissertation.

For instance, Ph.D. dissertations in humanities will be longer when compared to those in sciences. 

Secondly, the guidelines of your learning institutions will also determine the length of your paper.

Universities and colleges have different visions and motives when it comes to research papers.

Optimal Dissertation Length 

It is good to conclude that the length of a dissertation depends on the study level, the discipline you have chosen, and the institution of learning.

However, it takes between 10,000-20,000 words for a dissertation paper for students at the undergraduate level. At the master’s level, dissertation length can be between 15,000-25,000 words.

Those at the Ph.D. level can write dissertations of up to 50,000 words. 

Dissertations cover between 100-300 pages. These pages should be separated into various chapters, divisions, and subdivisions. 

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Length Of Dissertation Parts

1. the introduction.

The significance of the introduction is to provide important background information about the dissertation title .

It is also through the introduction that you will be able to showcase the relevance of your case. In a typical dissertation introduction, you will have to establish the problems and gaps and then proceed to express all your research questions. 

The length of the introduction should be approximately 10% of the entire research paper. This means that you have to ensure that 10% of your total word count goes to the introduction.

Averagely, this will take up to 15 pages of your writing.

Even though you have already provided an abstract, the significance of an introduction cannot be underestimated. You have to state what you will be investigating and the worthiness of the research.

When the marker reads your introduction, he or she will know the significance of the research to academia. The aim of your research and all questions should be clearly explained. 

Within the required length of the introduction, state the scope of your study and tell the readers exactly what you will cover. You should also show the methodology you are going to adopt and how you are going to structure the entire dissertation.

Portray the core chapters of the thesis and what each of them is going to cover. 

2. Literature Review                                          

This is an important part of your dissertation that should present the finding of your previous research. In simpler terms, it is the basis of your future work and this means it will take a significant part of your dissertation word count.

Averagely, the length of the literature review part is between 30-40 pages. 

This literature review part should explain the topic you are currently investigating. It shows how your research is going to fit into the bigger picture and its ability to contribute original material.

In this review, showcase how the previous studies’ methodology will assist you to develop your own. 

3. Methodology

The methodology section is where you explain your approach to the research and all the methods you have used. It is a section where you describe all these methods and ensure you justify their usage.

In most dissertations, your length of pages for the methodology section should not exceed 10 pages. 

The chapter on your methodology should also address how you are going to carry out your research. How you intend to design your research should be a vital point of focus.

In simple terms, clearly explain why you opted to structure your research in that design. 

The dissertation is a part of your degree that you should use to not only develop but also demonstrate your ability to do proper research.

Your professors or markers will want to know the methods you have used and the reason for choosing them. Even more importantly, show how to deploy these methods effectively.

This is a sensitive chapter of your dissertation and you should go into detail to show what you will be doing. Give details of the duration and with whom you will be doing the research.

4. Analysis

The analysis has a very important section of your dissertation and usually takes about 45% of your total word count. This is the discussion section where you will present all your research findings.

The detailed presentation involves surveys, tables, graphs as well as interviews. In this section, ensure all your presentations are clear so that markers do not get any confusion.

The discussion section must contain a proper interpretation of the findings, their limitations as well as implications. 

The analysis section takes almost half the word count of the dissertation. It takes a lot of pages to explain your data analysis results and what they mean concerning the research questions you had.

Ultimately, the methodology you selected will determine what you are going to discuss. 

For instance, if you have a quantitative methodology , you will have to explain the connections between variables.

In a methodology style that features a qualitative style, important themes and their meaning will be discussed.

Therefore, how you write the discussion section is determined by your design of research choices. 

This is the final part that involves a summarization of the entire research. It can take between 5% and 7% of your dissertation word count. It is all about concluding your interpretation of results by attempting to give answers to your original research questions.

Ensure you give details of your conclusions concerning the research questions you had right from chapter one. As much as it may involve some repetitions because you have discussed these questions in the previous chapter, a conclusion is very important.

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Frequently Asked Qestions    

What is the average length of a ph.d. dissertation by major.

On average, the length of a Ph.D. dissertation is between 120-200 pages. However, this word count does not include the appendices as well as the bibliography. What determines your word count and length will be the research type and the technical nature of the paper. 

What is the best chapter 5 dissertation length?

This should be about 15-20 pages. The section should include an introduction, summary of findings, implications for practice, recommendations for research, and conclusion. 

How long is a dissertation in psychology?

There is no specific page or word count requirement for a dissertation research paper in psychology. However, it should range from 80 to 150 pages depending on the requirement of the institution or professor. All the multiple chapters and appendices should be covered within this word count.

What is the average psychology dissertation length?

The average length of a psychology dissertation is 80 pages excluding the bibliography. Nonetheless, the analysis method, topic, and your university will determine the length.

How long should a history dissertation be?

An undergraduate history dissertation should be written in about 10,000 words. In most universities, it is an important part of the third year of a history student. Ph.D. dissertations in history will usually be near the length of 80,000 words.

This word count includes all the appendices but the references, notes, abstract, footnotes, abbreviations and acknowledgments are not part of it. 

When not handling complex essays and academic writing tasks, Josh is busy advising students on how to pass assignments. In spare time, he loves playing football or walking with his dog around the park.

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Decoding Academic Length: How Long Are Dissertations in Various Disciplines?

How long are dissertations? In most fields, students prepare for 100 to 200 pages, but the exact length can differ dramatically. This guide breaks down the elements that influence whether you’ll trend toward the concise end of the STEM spectrum or navigate the more voluminous humanities territory.

A dissertation project is a significant research endeavor that marks a crucial part of an undergraduate or postgraduate degree. It demands months of preparation, independent research skills, and a topic of genuine interest, varying in length depending on the subject, writing style, and academic discipline.

Key Takeaways

● Dissertation lengths vary significantly by discipline, with humanities and social sciences often producing longer dissertations due to in-depth literature reviews and theoretical analysis, while STEM field dissertations are generally more concise, focusing on data and experimental results.

● The structure of dissertations can differ across academic fields; components such as introduction, literature review, methodology, findings, discussion, and conclusion influence the length, informed by variations in research focus and methodological approaches.

● University guidelines, research nature (empirical vs. non-empirical), and logistical considerations such as inclusion of figures, tables, and appendices play critical roles in determining the final length of a dissertation.

The Spectrum of Dissertation Length Across Disciplines

The phd dissertation length varies considerably across academic disciplines, with humanities and social sciences typically requiring more extensive documents than fields like sciences. Social science dissertations, for instance, typically fall within an 80 to 120-page range. On the other hand, STEM dissertations average around 159 pages, while non-STEM dissertations average 223 pages, demonstrating a clear length distinction between these fields and academic programs.

Factors like the depth of literature review and theoretical analysis account for the variation in dissertation length across disciplines. These elements contribute to the longer lengths observed in humanities and social science dissertations in academia, compared to the oftentimes more concise dissertations in STEM fields.

Humanities and Social Sciences: A Deeper Dive

The inherent structure and focus on comprehensive literature and case studies render most dissertations from within the humanities and social sciences field typically lengthy. The expansive nature of these disciplines requires a broad exploration of existing knowledge and an in-depth analysis of various case studies, which inevitably contributes to a greater page count.

These dissertations often resemble extended essays, structured around themes explored through extensive literature and case studies. This approach necessitates a thorough evaluation of the chosen theme, often leading to a more extensive exploration of the academic discipline and ultimately, a longer dissertation.

STEM Fields: Concise and Data-Driven

Conversely, dissertations in science, technology, engineering, and mathematics (STEM) fields usually comprise articles of 100 to 300 pages. These dissertations are often more concise, focusing on the analysis of data and experimental results rather than extensive literature reviews or theoretical analysis.

In particular, quantitative dissertations, which are common in STEM fields, are often shorter, consisting of fewer than 100 pages. This brevity is primarily due to the nature of quantitative research, which relies heavily on numerical data and statistical analysis, allowing the researcher to present their findings in a more concise format.

The Structure of a Doctoral Dissertation

Another significant factor influencing the length of a doctoral dissertation is its structure. A typical dissertation includes:

● Introduction

● Literature review

● Methodology

● Discussion

● Conclusion

● References

However, the arrangement and extent of these components can vary by academic discipline, which directly impacts the overall length of the dissertation for doctoral candidates. Consultation with a dissertation advisor can provide valuable insights into these variations.

For instance, humanities dissertations may be structured around thematic chapters, each presenting a unique argument supported by specific material and analysis. On the other hand, dissertations in the social sciences often employ the IMRAD format, an entire document which includes Introduction, Methods, Results, and Discussion sections. This variation in structure influences the length of PhD dissertations, and consequently, the phd thesis requirements across different disciplines.

Crafting the Introduction

The introduction chapter of a dissertation serves as the gateway to your academic research. It should clearly present:

● the topic

● relevant facts

● the significance of the research

● the objectives of the work

Creating an engaging, insightful, and comprehensive introduction sets the stage for the following chapters of your dissertation, including the presentation of your complete theoretical framework.

While the introduction is not typically the longest chapter in a dissertation, it provides a more detailed explanation of the research’s goals and context than what is included in the abstract. The introduction’s length can thus vary depending on the complexity of the research topic and the researcher’s style.

Conducting a Thorough Literature Review

Being a critical assessment of the existing body of knowledge relevant to the research question, the literature review constitutes a substantial part of any dissertation. It involves:

● extensive reading

● analyzing the collected information

● identifying knowledge gaps

● establishing connections among various research findings.

The breadth of the literature review may lead to it occupying a substantial portion of the dissertation, particularly in areas with vast data and publications. By comprehensively reviewing existing literature, a researcher not only establishes a knowledge base but also frames the research questions that guide the remainder of the dissertation work.

Presenting Research Methods and Results

The essence of your research lies within the methodology and results sections. The methodology section should focus on:

● The methods used to conduct the research, which may involve collecting data

● Specific method and data-selection processes

● Ways of contacting the sample population

● Gathered data

● Encountered challenges

The depth of research methodologies, whether qualitative or quantitative, has a significant impact on the dissertation’s length.

On the other hand, the Results section typically should not exceed 10 pages, maximum length but this can vary based on the complexity of the research. These sections, although not necessarily extensive, provide essential insights into your research process and findings, contributing to the overall length of the dissertation.

Average Dissertation Length: By the Numbers

Given the clear variation of dissertation length across disciplines and depending on the nature of the research, how does this translate numerically? The average length of a dissertation typically falls within the range of 100 to 200 pages. This can vary based on the specific requirements of the academic institution and field of study. However, detailed disciplinary breakdowns show humanities and social sciences dissertations ranging from 200 to over 400 pages.

For example, the average length of dissertations in different fields is as follows:

● Education, environmental health, and political science: around 100 pages

● Empirical dissertations in the UK: 60,000 to 100,000 words

● Non-empirical dissertations in the UK: 15,000 to 25,000 words

It’s important to note that these are just averages and each field may have its own expectations for the document length. The range can vary widely, with the shortest recorded dissertation being 14 pages and disciplines like anthropology and history boasting some of the longest dissertations.

Empirical vs. Non-Empirical Dissertations: Size Matters

Dissertation length can be significantly influenced by the nature of the research conducted. Specifically, the difference between empirical and non-empirical dissertations is notable. Empirical dissertations involve the collection of real-world data, presenting and analyzing this data in detail. This process often requires extensive data presentation, which can increase the page count.

On the other hand, non-empirical dissertations are based on existing data or literature rather than on newly collected data. These dissertations are typically shorter as they focus on analyzing and synthesizing existing information. However, case study dissertations, which are a form of empirical dissertation, often have greater length due to their focus on in-depth analysis of a particular case or event.

The Role of University Guidelines in Dissertation Size

Not only the nature of the research and academic discipline but also university guidelines play significant roles in determining dissertation length. Specific formatting requirements can affect the layout and consequently the length of a dissertation. Universities may recommend optimal dissertation lengths with minimum and maximum page ranges, along with a suggested number of chapters to maintain proportion. Moreover, the formation of dissertation committees and the rules governing their operations, such as the review of each chapter by the committee, can lead to revisions that influence the length of a dissertation.

Even general university formatting rules that dictate aspects such as line spacing, margins, and paper quality can contribute to the overall page count of a dissertation.

Maximizing Page Count: Figures, Tables, and Appendices

Incorporating figures, tables, and appendices can notably augment a dissertation’s page count. These elements should be placed as close as possible separate page one to when they are first mentioned in the text, often contributing to a longer page count.

Tables that extend beyond one page can add additional pages to the dissertation, particularly when they adhere to margin rules which impact the layout. Similarly, additional figures and tables not placed within the main text should be included in an appendix, effectively adding subsequent pages to the dissertation’s total page count. Even statistical tables within a dissertation are typically accounted for as approximately 150 words each, thereby influencing the overall page length.

Writing Your Dissertation: Factors That Influence Length

Multiple factors influence the complex process of writing a dissertation. These factors not only impact the quality of the dissertation but also its length. Dissertations are expected to demonstrate skills expected of assistant professors, which include text analysis and scholarly engagement. These skills, when effectively applied, can influence the extent and depth of the dissertation and thereby its length.

There is no universally set number of words or pages that determine the length of a dissertation as it varies based on the university, faculty, or journal requirements. Other factors such as the subject of study, logistical considerations, and the complexity of the research being undertaken with other students can influence the length of time required to write a dissertation. Even the length of different dissertation chapters can vary significantly based on:

● the nature of the research conducted

● the data gathered

● the academic discipline

● the specific requirements of the learning institution

● the goals of the study.

The Final Stretch: Concluding Your Academic Journey

The conclusion chapter, a crucial long is a dissertation chapter, should:

● Be concise, engaging, and provide a clear understanding of the research’s main findings

● Answer the research question posed

● Signal the completion of your research

● Offer a synopsis of your hard work

● In writing the conclusion, it is written and is recommended to:

● State the answer to the main research question

● Summarize the research

● Make recommendations for future work

● Avoid repetition of the results already discussed

● Restate the research aims in a way that reflects the findings

● Leave a strong impression of the research’s contribution to the field by summarizing the most important points and situating the project in a broader context.

Navigating the world of dissertation writing can be daunting, but understanding the factors that influence its length can make the journey less arduous. From the academic discipline, research complexity, university guidelines, to the writer’s personal style - many elements come into play when determining the length of a dissertation. Remember, it’s not about meeting a specific word count, but effectively presenting your research and contributing to your field of study.

Frequently Asked Questions

How long is a typical PhD dissertation?

A typical PhD dissertation is generally between 100 to 200 pages, but the length can vary based on the discipline and type of research. The length is influenced by various factors and can vary considerably.

Are dissertations in humanities and social sciences longer than those in STEM fields?

Yes, student dissertations in humanities and social sciences are longer than those in STEM fields due to their extensive focus on literature and case studies.

How do university guidelines affect the length of a dissertation?

University guidelines, including formatting requirements and suggested chapter lengths, significantly impact the length of a dissertation. These guidelines should be carefully followed to ensure compliance with academic standards.

What is the difference between empirical and non-empirical dissertations in terms of length?

Empirical dissertations, which involve real-world data collection and analysis, are typically longer than non-empirical dissertations that are based on existing data or literature.

Does the inclusion of figures, tables, and appendices affect the length of a dissertation?

Yes, the inclusion looms large amount of figures, tables, and appendices can significantly increase the page count of a dissertation, depending on their placement and extent. Consider this when preparing your dissertation.

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• How Long Is a PhD Thesis?
• Doing a PhD

It’s no secret that one of the most challenging aspects of a PhD degree is the volume of work that goes into writing your thesis . So this raises the question, exactly how long is a thesis?

Unfortunately, there’s no one size fits all answer to this question. However, from the analysis of over 100 PhD theses, the average thesis length is between 80,000 and 100,000 words. A further analysis of 1000 PhD thesis shows the average number of pages to be 204 . In reality, the actual word count for each PhD thesis will depend on the specific subject and the university it is being hosted by. This is because universities set their own word length requirements, with most found to be opting for around 100,000.

To find out more about how these word limits differ between universities, how the average word count from STEM thesis differ from non-STEM thesis and a more detailed breakdown from the analysis of over 1000 PhDs, carry on reading the below.

Word Count Differences Between Universities

For any PhD student writing a thesis, they will find that their document will be subject to a word limit set by their university. In nearly all cases, the limit only concerns the maximum number of words and doesn’t place any restrictions on the minimum word limit. The reason for this is that the student will be expected to write their thesis with the aim of clearly explaining their research, and so it is up to the student to determine what he deems appropriate.

Saying this, it is well accepted amongst PhD students and supervisors that the absence of a lower limit doesn’t suggest that a thesis can be ‘light’. Your thesis will focus on several years worth of original research and explore new ideas, theories or concepts. Besides this, your thesis will need to cover a wide range of topics such as your literature review, research methodology, results and conclusion. Therefore, your examiners will expect the length of your thesis to be proportional to convey all this information to a sufficient level.

Selecting a handful of universities at random, they state the following thesis word limits on their website:

• University of Edinburgh: 100,000
• University of Exeter: 100,000
• University of Leister: 80,000
• University of Bath: 80,000
• University of Warwick: 70,000

The above universities set upper word limits that apply across the board, however, some universities, such as the University of Birmingham and the University of Sheffield, set different word limits for different departments. For example, the University of Sheffield adopts these limits:

• Arts & Humanities: 75,000
• Medicine, Dentistry & Health: 75,000
• Science: 80,000
• Social Sciences: 75,000-100,000

Although there’s a range of limit, it’s safe to say that the majority fall within the 80,000 to 100,000 bracket.

Word Count Based on Data from past Theses

A poll of 149 postdocs.

In mid-2019, Dr Eva Lantsoght, a published author, academic blogger and Structural Engineering Professor, conducted a poll which asked postgraduate doctoral students to share the length of their final thesis. 149 PostDoc students responded to the survey, with the majority reporting a length falling within the ‘80,000 – 120,000 words’ bracket as seen below.

Analysis of 1000 PhD Theses

Over a three-year time period, Dr Ian Brailsford, a then Postgraduate Learning Adviser at the University of Auckland, analysed 1000 doctoral thesis submitted to his university’s library. The PhD theses which formed the basis of his analysis were produced between 2008 to 2017 and showed:

• Average number of pages = 204
• Median number of pages = 198
• Average number of chapters = 7.6

We should note that the above metrics only cover the content falling within the main body of the thesis. This includes the introduction, literature review, methods section, results chapter, discussions and conclusions. All other sections, such as the title page, abstract, table of contents, acknowledgements, bibliography and appendices were omitted from the count.

Although it’s impossible to draw the exact word count from the number of pages alone, by using the universities recommended format of 12pt Times New Roman and 1.5 lines spacing, and assuming 10% of the main body are figures and footnotes, this equates to an average main body of 52,000 words.

STEM vs Non-STEM

As part of Dr Ian Brailsford’s analysis, he also compared the length of STEM doctorate theses to non-STEM theses. He found that STEM theses tended to be shorter. In fact, he found STEM theses to have a medium page length of 159 whilst non-STEM theses had a medium of around 223 pages. This is a 40% increase in average length!

Can You Exceed the Word Count?

Whilst most universities will allow you to go over the word count if you need to, it comes with the caveat that you must have a very strong reason for needing to do so. Besides this, your supervisor will also need to support your request. This is to acknowledge that they have reviewed your situation and agree that exceeding the word limit will be absolutely necessary to avoid detriment unnecessary detriment to your work.

This means that whilst it is possible to submit a thesis over 100,000 words or more, it’s unlikely that your research project will need to.

How Does This Compare to a Masters Dissertation?

The average Masters dissertation length is approximately 20,000 words whilst a thesis is 4 to 5 times this length at approximately 80,000 – 100,000.

The key reason for this difference is because of the level of knowledge they convey. A Master’s dissertation focuses on concluding from existing knowledge whilst a PhD thesis focuses on drawing a conclusion from new knowledge. As a result, the thesis is significantly longer as the new knowledge needs to be well documented so it can be verified, disseminated and used to shape future research.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

Related Reading

Unfortunately, the completion of your thesis doesn’t mark the end of your degree just yet. Once you submit your thesis, it’s time to start preparing for your viva – the all-to-fun thesis defence interview! To help you prepare for this, we’ve produced a helpful guide which you can read here: The Complete Guide to PhD Vivas.

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