methodology thesis topics

Still have questions? Leave a comment

Add Comment

Checklist: Dissertation Proposal

Enter your email id to get the downloadable right in your inbox!

Examples: Edited Papers

Need editing and proofreading services, research methodology guide: writing tips, types, & examples.

• Tags: Academic Research , Research

No dissertation or research paper is complete without the research methodology section. Since this is the chapter where you explain how you carried out your research, this is where all the meat is! Here’s where you clearly lay out the steps you have taken to test your hypothesis or research problem.

Through this blog, we’ll unravel the complexities and meaning of research methodology in academic writing , from its fundamental principles and ethics to the diverse types of research methodology in use today. Alongside offering research methodology examples, we aim to guide you on how to write research methodology, ensuring your research endeavors are both impactful and impeccably grounded!

Ensure your research methodology is foolproof. Learn more

Let’s first take a closer look at a simple research methodology definition:

Defining what is research methodology

Research methodology is the set of procedures and techniques used to collect, analyze, and interpret data to understand and solve a research problem. Methodology in research not only includes the design and methods but also the basic principles that guide the choice of specific methods.

Grasping the concept of methodology in research is essential for students and scholars, as it demonstrates the thorough and structured method used to explore a hypothesis or research question. Understanding the definition of methodology in research aids in identifying the methods used to collect data. Be it through any type of research method approach, ensuring adherence to the proper research paper format is crucial.

Now let’s explore some research methodology types:

Types of research methodology

1. qualitative research methodology.

Qualitative research methodology is aimed at understanding concepts, thoughts, or experiences. This approach is descriptive and is often utilized to gather in-depth insights into people’s attitudes, behaviors, or cultures. Qualitative research methodology involves methods like interviews, focus groups, and observation. The strength of this methodology lies in its ability to provide contextual richness.

2. Quantitative research methodology

Quantitative research methodology, on the other hand, is focused on quantifying the problem by generating numerical data or data that can be transformed into usable statistics. It uses measurable data to formulate facts and uncover patterns in research. Quantitative research methodology typically involves surveys, experiments, or statistical analysis. This methodology is appreciated for its ability to produce objective results that are generalizable to a larger population.

3. Mixed-Methods research methodology

Mixed-methods research combines both qualitative and quantitative research methodologies to provide a more comprehensive understanding of the research problem. This approach leverages the strengths of both methodologies to provide a deeper insight into the research question of a research paper .

Research methodology vs. research methods

The research methodology or design is the overall strategy and rationale that you used to carry out the research. Whereas, research methods are the specific tools and processes you use to gather and understand the data you need to test your hypothesis.

Research methodology examples and application

To further understand research methodology, let’s explore some examples of research methodology:

a. Qualitative research methodology example: A study exploring the impact of author branding on author popularity might utilize in-depth interviews to gather personal experiences and perspectives.

b. Quantitative research methodology example: A research project investigating the effects of a book promotion technique on book sales could employ a statistical analysis of profit margins and sales before and after the implementation of the method.

c. Mixed-Methods research methodology example: A study examining the relationship between social media use and academic performance might combine both qualitative and quantitative approaches. It could include surveys to quantitatively assess the frequency of social media usage and its correlation with grades, alongside focus groups or interviews to qualitatively explore students’ perceptions and experiences regarding how social media affects their study habits and academic engagement.

These examples highlight the meaning of methodology in research and how it guides the research process, from data collection to analysis, ensuring the study’s objectives are met efficiently.

Importance of methodology in research papers

When it comes to writing your study, the methodology in research papers or a dissertation plays a pivotal role. A well-crafted methodology section of a research paper or thesis not only enhances the credibility of your research but also provides a roadmap for others to replicate or build upon your work.

How to structure the research methods chapter

Wondering how to write the research methodology section? Follow these steps to create a strong methods chapter:

Step 1: Explain your research methodology

At the start of a research paper , you would have provided the background of your research and stated your hypothesis or research problem. In this section, you will elaborate on your research strategy. 

Begin by restating your research question and proceed to explain what type of research you opted for to test it. Depending on your research, here are some questions you can consider: 

a. Did you use qualitative or quantitative data to test the hypothesis? 

b. Did you perform an experiment where you collected data or are you writing a dissertation that is descriptive/theoretical without data collection? 

c. Did you use primary data that you collected or analyze secondary research data or existing data as part of your study? 

These questions will help you establish the rationale for your study on a broader level, which you will follow by elaborating on the specific methods you used to collect and understand your data. 

Step 2: Explain the methods you used to test your hypothesis 

Now that you have told your reader what type of research you’ve undertaken for the dissertation, it’s time to dig into specifics. State what specific methods you used and explain the conditions and variables involved. Explain what the theoretical framework behind the method was, what samples you used for testing it, and what tools and materials you used to collect the data. 

Step 3: Explain how you analyzed the results

Once you have explained the data collection process, explain how you analyzed and studied the data. Here, your focus is simply to explain the methods of analysis rather than the results of the study. 

Here are some questions you can answer at this stage: 

a. What tools or software did you use to analyze your results? 

b. What parameters or variables did you consider while understanding and studying the data you’ve collected? 

c. Was your analysis based on a theoretical framework? 

Your mode of analysis will change depending on whether you used a quantitative or qualitative research methodology in your study. If you’re working within the hard sciences or physical sciences, you are likely to use a quantitative research methodology (relying on numbers and hard data). If you’re doing a qualitative study, in the social sciences or humanities, your analysis may rely on understanding language and socio-political contexts around your topic. This is why it’s important to establish what kind of study you’re undertaking at the onset. 

Step 4: Defend your choice of methodology 

Now that you have gone through your research process in detail, you’ll also have to make a case for it. Justify your choice of methodology and methods, explaining why it is the best choice for your research question. This is especially important if you have chosen an unconventional approach or you’ve simply chosen to study an existing research problem from a different perspective. Compare it with other methodologies, especially ones attempted by previous researchers, and discuss what contributions using your methodology makes.  

Step 5: Discuss the obstacles you encountered and how you overcame them

No matter how thorough a methodology is, it doesn’t come without its hurdles. This is a natural part of scientific research that is important to document so that your peers and future researchers are aware of it. Writing in a research paper about this aspect of your research process also tells your evaluator that you have actively worked to overcome the pitfalls that came your way and you have refined the research process. 

Tips to write an effective methodology chapter

1. Remember who you are writing for. Keeping sight of the reader/evaluator will help you know what to elaborate on and what information they are already likely to have. You’re condensing months’ work of research in just a few pages, so you should omit basic definitions and information about general phenomena people already know.

2. Do not give an overly elaborate explanation of every single condition in your study. 

3. Skip details and findings irrelevant to the results.

4. Cite references that back your claim and choice of methodology. 

5. Consistently emphasize the relationship between your research question and the methodology you adopted to study it. 

To sum it up, what is methodology in research? It’s the blueprint of your research, essential for ensuring that your study is systematic, rigorous, and credible. Whether your focus is on qualitative research methodology, quantitative research methodology, or a combination of both, understanding and clearly defining your methodology is key to the success of your research.

Once you write the research methodology and complete writing the entire research paper, the next step is to edit your paper. As experts in research paper editing and proofreading services , we’d love to help you perfect your paper!

Here are some other articles that you might find useful: 

• Essential Research Tips for Essay Writing
• How to Write a Lab Report: Examples from Academic Editors
• The Essential Types of Editing Every Writer Needs to Know
• Editing and Proofreading Academic Papers: A Short Guide
• The Top 10 Editing and Proofreading Services of 2023

Frequently Asked Questions

What does research methodology mean, what types of research methodologies are there, what is qualitative research methodology, how to determine sample size in research methodology, what is action research methodology.

Found this article helpful?

One comment on “ Research Methodology Guide: Writing Tips, Types, & Examples ”

This is very simplified and direct. Very helpful to understand the research methodology section of a dissertation

Leave a Comment: Cancel reply

Your email address will not be published.

Your vs. You’re: When to Use Your and You’re

Your organization needs a technical editor: here’s why, your guide to the best ebook readers in 2024, writing for the web: 7 expert tips for web content writing.

Subscribe to our Newsletter

Get carefully curated resources about writing, editing, and publishing in the comfort of your inbox.

How to Copyright Your Book?

If you’ve thought about copyrighting your book, you’re on the right path.

© 2024 All rights reserved

• Terms of service
• Privacy policy
• Self Publishing Guide
• Pre-Publishing Steps
• Fiction Writing Tips
• Traditional Publishing
• Additional Resources
• Dissertation Writing Guide
• Essay Writing Guide
• Academic Writing and Publishing
• Citation and Referencing
• Partner with us
• Annual report
• Website content
• Marketing material
• Job Applicant
• Cover letter
• Resource Center
• Case studies

• Staff Directory
• Library Policies
• Hege Research Award
• Quaker Archives
• Art Gallery
• Student Support
• Teaching & Learning
• Reserving spaces
• Technology Lending
• Interlibrary Loan
• Course Reserves
• Copyright & Fair Use
• Poster Printing
• Virtual Reference
• Research Guides
• Off-campus access
• Digital Scholarship
• Guilford Sources
• Open Educational Resources
• Quaker Collections
• Digital Collections
• College Archives
• Underground Railroad
• Universities Studying Slavery
• Images & Exhibitions

Service Alert

Hege Library & Learning Technologies

Guide for Thesis Research

• Introduction to the Thesis Process
• Project Planning
• Literature Review
• Theoretical Frameworks
• Research Methodology
• GC Honors Program Theses
• Thesis Submission Instructions This link opens in a new window
• Accessing Guilford Theses from 1898 to 2020 This link opens in a new window

Basics of Methodology

Research is a process of inquiry that is carried out in a pondered, organized, and strategic manner. In order to obtain high quality results, it is important to understand methodology.

Research methodology refers to how your project will be designed, what you will observe or measure, and how you will collect and analyze data. The methods you choose must be appropriate for your field and for the specific research questions you are setting out to answer.

A strong understanding of methodology will help you:

• apply appropriate research techniques
• design effective data collection instruments
• analyze and interpret your data
• develop well-founded conclusions

Below, you will find resources that mostly cover general aspects of research methodology. In the left column, you will find resources that specifically cover qualitative, quantitative, and mixed methods research.

General Works on Methodology

Qualitative Research

Quantitative Research

Mixed Methods Research

• << Previous: Theoretical Frameworks
• Next: Citation >>
• Last Updated: Jan 23, 2024 4:31 PM
• URL: https://library.guilford.edu/thesis-guide

• How it works

Writing a Methodology for your Dissertation | Complete Guide & Steps

What is a methodology.

The methodology is perhaps the most challenging and laborious part of the dissertation . Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the ‘how’ part of your research.

This means that your methodology chapter should clearly state whether you chose to use quantitative or qualitative data collection techniques or a mix of both.

Your research methodology should explain the following:

• What was the purpose of your research?
• What type of research method was used?
• What were the data-collecting methods?
• How did you analyse the data?
• What kind of resources were used in your research?
• Why did you choose these methods?

You will be required to provide justifications as to why you preferred a certain method over the others. If you are trying to figure out exactly how to write methodology or the structure of a methodology for a dissertation, this article will point you in the right direction.

Students must be sure of why they chose a certain research method over another. “I figured out” or “In my opinion” statements will not be an acceptable justification. So, you will need to come up with concrete academic reasons for your selection of research methods.

What are the Standard Contents of a Research Methodology?

The methodology generally acts as a guideline or plan for exactly how you intend to carry out your research. This is especially true for students who must submit their methodology chapter before carrying out the research.

Your methodology should link back to the literature review and clearly state why you chose certain data collection and analysis methods for your research/dissertation project.

The methodology chapter consists of the following:

• Research Design
• Philosophical Approach
• Data Collection Methods
• Research Limitations
• Ethical Considerations (If Any)
• Data Analysis Methods

For those who are submitting their dissertation as a single paper, their methodology should also touch on any modifications they had to make as their work progressed.

However, it is essential to provide academic justifications for all choices made by the researcher.

How to Choose your Dissertation Methodology and Research Design?

The theme of your research methodology chapter should be related to your literature review and research question (s).

You can visit your college or university library to find textbooks and articles that provide information about the commonly employed research methods .

An intensive reading of such books can help you devise your research philosophy and choose the appropriate methods. Any limitations or weaknesses of your chosen research approach should also be explained, as well as the strategies to overcome them.

To research well, you should read well! Read as many research articles (from reputed journals) as you can. Seeing how other researchers use methods in their studies and why will help you justify, in the long run, your own research method(s).

Regardless of the chosen research approach, you will find researchers who either support it or don’t. Use the arguments for and against articulated in the literature to clarify why you decided to choose the selected research design and why the research limitations are irrelevant to your research.

How to Structure your Dissertation Methodology?

The typical structure of the methodology chapter is as follows:

• Research Design And Strategy
• Methods Of Data Collection And Data Analysis
• Ethical Considerations, Reliability , Limitations And Generalisability

In research jargon, generalisability is termed external validity . It means how generalisable your research findings are to other contexts, places, times, people, etc. External validity is expected to be significantly high, especially in quantitative studies.

According to USC-Research Guides (2017) , a research design’s primary function is to enable the researcher to answer the research questions through evidence effectively. Generally, this section will shed light on how you collected your data.

The researcher will have to justify their choice of data collection methods, such as the one that was reviewed, the use of data tools (interviews, phone surveys, questionnaires, observation, online surveys , etc.) and the like.

Moreover, data sampling choice should also be clearly explained with a focus on how you chose the ethnicity, group, profession and age of the participants.

• What type of questions do you intend to ask the respondents?
• How will they help to answer your research questions ?
• How will they help to test the hypothesis of the dissertation?

It is recommended to prepare these questions at the start of your research. You should develop your research problem and questions. This approach can allow the room to change or modify research questions if your data collection methods do not give the desired results.

It’s a good practice to keep referring to your research questions whilst planning or writing the research design section. This will help your reader recall what the research is about; why you have done what you did. Even though this technique is recommended to be applied at the start of every section within a dissertation, it’s especially beneficial in the methodology section.

In short, you will need to make sure that the data you are going to collect relates to the topic you are exploring. The complexity and length of the research design section will vary depending on your academic subject and the scope of your research, but a well-written research design will have the following characteristics:

• It sheds light on alternative research design options and justifies why your chosen design is the best to address the research problem.
• Clearly specifies the research questions that the research aims to address or the hypothesis to validate.
• Explain how the collected data will help address the research problem and discusses your research methodology to collect the data.

Philosophical Approach Behind Writing a Methodology

This will discuss your chosen philosophy to strengthen your research and the research model. Commonly employed philosophies in academia are

• Interpretivism,
• Positivism/Post-Positivism
• Constructivism

There are several other research philosophies that you could adopt.

The choice of philosophy will depend on many factors, including your academic subject and the type and complexity of the research study. Regardless of which philosophy is used, you will be required to make different assumptions about the world.

Once you have chosen your research philosophy, the next step will describe your research context to answer all the questions, including when, where, why, how and what of your research.

Essentially, as a researcher, you will be required to decide whether you will be using a qualitative method, a quantitative method or a mix of both.

Did you know?

Using both qualitative and quantitative methods leads to the use of a mixed-methods approach. This approach also goes by another seldom-used name: eclectic approach.

The process of data collection is different for each method. Typically, you would want to decide whether you will adopt the positivist approach, defining your hypothesis and testing it against reality.

If this is the case, you will be required to take the quantitative approach, collecting numerical data at a large scale (from 30 or more respondents) and testing your hypotheses with this data.

Collecting data from at least 30 respondents/participants ensures reliable statistical analysis . This is especially true for quantitative studies. If the data contains less than 30 responses, it won’t be enough to carry out reliable statistical analyses on such data.

The other option for you would be to base your research on a qualitative approach, which will point you in a direction where you will be investigating broader areas by identifying people’s emotions and perceptions of a subject.

With a qualitative approach, you will have to collect responses from respondents and look at them in all their richness to develop theories about the field you are exploring.

Finally, you can also use a mix of qualitative and quantitative methods (which is becoming increasingly popular among researchers these days). This method is beneficial if you are interested in putting quantitative data into a real-world context or reflecting different perspectives on a subject.

Research philosophy in the ‘research onion.’

Methods of Data Collection and Data Analysis

This section will require you to clearly specify how you gathered the data and briefly discuss the tools you used to analyse it. For example, you may choose to conduct surveys and/or interviews as part of the data collection process.

Similarly, if you used software such as Excel or SPSS to process the data , you will have to justify your software choice. In this section of your methodology chapter , you will also have to explain how you arrived at your findings and how reliable they are.

It is important to note that your readers or supervisor would want to see a correlation between your findings and the hypothesis/research questions you based your study on at the very beginning.

Your supervisor or dissertation research assistant can play a key role in helping you write the methodology chapter according to established research standards. So, keep your supervisor in the loop to get their contributions and recommendations throughout the process.

In this section, you should briefly describe the methods you’ve used to analyse the data you’ve collected.

Qualitative Methods

The qualitative method includes analysing language, images, audio, videos, or any textual data (textual analysis). The following types of methods are used in textual analysis .

Discourse analysis:

Discourse analysis is an essential aspect of studying a language and its uses in day-to-day life.

Content analysis:

It is a method of studying and retrieving meaningful information from documents Thematic analysis:

It’s a method of identifying patterns of themes in the collected information, such as face-to-face interviews, texts, and transcripts.

Example: After collecting the data, it was checked thoroughly to find the missing information. The interviews were transcribed, and textual analysis was conducted. The repetitions of the text, types of colours displayed, and the tone of the speakers was measured.

Quantitative Methods

Quantitative data analysis is used for analysing numerical data. Include the following points:

• The methods of preparing data before analysing it.
• Which statistical test you have used? (one-ended test, two-ended test)
• The type of software you’ve used.

Ethical Considerations, Reliability and Limitations of a Dissertation Methodology

Other important sections of your methodology are:

Ethical Considerations

Always consider how your research will influence other individuals who are beyond the scope of the study. This is especially true for human subjects. As a researcher, you are always expected to make sure that your research and ideas do not harm anyone in any way.Discussion concerning data protection, data handling and data confidentiality will also be included in this brief segment.

• How did you ensure your participants’/respondents’ anonymity and/or confidentiality?
• Did you remove any identifiable markers after conducting the study (post-test stage) so that readers wouldn’t be able to guess the identity of the participant/respondent?
• Was personal information collected according to the purpose of the research? (For instance, asking respondents their age when it wasn’t even relevant in the study). All such ethical considerations need to be mentioned.

Even though there is no established rule to include ethical considerations and limitations within the methodology section, it’s generally recommended to include it in this section, as it makes more sense than including it, say, after the discussions section or within the conclusion.

This is mainly because limitations almost always occur in the methodology stage of research. And ethical considerations need to be taken while sampling, an important aspect of the research methodology.

Here are some examples of ethical issues that you should be mindful of

• Does your research involve participants recalling episodes of suffering and pain?
• Are you trying to find answers to questions considered culturally sensitive either by participants or the readers?
• Are your research, analysis and findings based on a specific location or a group of people?

All such issues should be categorically addressed and a justification provided for your chosen research methodology by highlighting the study’s benefits.

Reliability

Is your research study and findings reliable for other researchers in your field of work? To establish yourself as a reliable researcher, your study should be both authentic and reliable.

Reliability means the extent to which your research can yield similar results if it was replicated in another setting, at a different time, or under different circumstances. If replication occurs and different findings come to light, your (original) research would be deemed unreliable.

Limitations

Good dissertation writers will always acknowledge the limitations of their research study. Limitations in data sampling can decrease your results’ reliability.

A classic example of research limitation is collecting responses from people of a certain age group when you could have targeted a more representative cross-section of the population.Be humble and admit to your own study’s limitations. Doing so makes your referees, editors, supervisors, readers and anyone else involved in the research enterprise aware that you were also aware of the things that limited your study.

Limitations are NOT the same as implications. Sometimes, the two can be confused. Limitations lead to implications, that is, due to a certain factor being absent in the study (limitation) for instance, future research could be carried out in a setting where that factor is present (implication).

Dissertation Methodology Example

At this point, you might have a basic understanding of how to craft a well-written, organised, accurate methodology section for your dissertation. An example might help bring all the aforementioned points home. Here is a dissertation methodology example in pdf to better understand how to write methodology for a dissertation.

Sample Dissertation Methodology

Does your Research Methodology Have the Following?

• Great Research/Sources
• Perfect Language
• Accurate Sources

If not, we can help. Our panel of experts makes sure to keep the 3 pillars of Research Methodology strong.

Types of Methodologies

A scientific or lab-based study.

A methodology section for a scientific study will need to elaborate on reproducibility and meticulousness more than anything else. If your methods have obvious flaws, the readers are not going to be impressed. Therefore, it is important to ensure that your chosen research methodology is vigorous in nature.

Any information related to the procedure, setup and equipment should be clearly stated so other researchers in your field of study can work with the same method in the future if needed.

Variables that are likely to falsify your data must be taken into the equation to avoid ambiguities. It is recommended to present a comprehensive strategy to deal with these variables when gathering and analysing the data and drawing conclusions.

Statistical models employed as part of your scientific study will have to be justified, and so your methodology should include details of those statistical models.

Another scholar in the future might use any aspect of your methodology as the starting point for their research. For example, they might base their research on your methodology but analyse the data using other statistical models. Hence, this is something you should be mindful of.

Behavioural or Social Sciences-Based Dissertation

Like scientific or lab-based research, a behavioural and social sciences methodology needs to be built along the same lines. The chosen methodology should demonstrate reproducibility and firmness so other scholars can use your whole dissertation methodology or a part of it based on their research needs.

But there are additional issues that the researcher must take into consideration when working with human subjects. As a starting point, you will need to decide whether your analysis will be based on qualitative data, quantitative data or mixed-method of research, where qualitative data is used to provide contextual background to quantitative data or the other way around.

Here are some questions for you to consider:

• Will you observe the participants undertaking some activity, ask them to fill out a questionnaire, or record their responses during the interviews ?
• Will you base your research on existing evidence and datasets and avoid working with human subjects?
• What are the length, width, and reach of your data? Define its scope.
• Is the data highly explicit to the location or cultural setting you carried your study in, or can it be generalised to other situations and frameworks (reliability)? What are your reasons and justifications?

While you will be required to demonstrate that you have taken care of the above questions, it is equally important to make sure that you address your research study’s ethical issues side-by-side.

Of course, the first step in that regard will be to obtain formal approval for your research design from the ethics bodies (such as IRBs – institutional review boards), but still, there will be many more issues that could trigger a sense of grief and discomfort among some of the readers.

Humanities and Arts Dissertation Project

The rigour and dependability of the methods of research employed remain undisputed and unquestionable for humanities and arts-based dissertations as well. However, the way you convince your readers of your dissertation’s thoroughness is slightly different.

Unlike social science dissertation or a scientific study, the methodology of dissertations in arts and humanities subjects needs to be directly linked to the literature review regardless of how innovative your dissertation’s topic might be.

For example, you could demonstrate the relationship between A and B to discover a new theoretical background or use existing theories in a new framework.

The methodology section of humanities and arts-based dissertations is less complex, so there might be no need to justify it in detail. Students can achieve a seamless transition from the literature review to the analysis section.

However, like with every other type of research methodology, it is important to provide a detailed justification of your chosen methodology and relate it to the research problem.

Failing to do so could leave some readers unconvinced of your theoretical foundations’ suitability, which could potentially jeopardise your whole research.

Make sure that you are paying attention to and giving enough information about the social and historical background of the theoretical frameworks your research methodology is based on. This is especially important if there is an essential difference of opinion between your research and the research done on the subject in the past.

A justification of why opposing schools of thought disagree and why you still went ahead to use aspects of these schools of thought in your methodology should be clearly presented for the readers to understand how they would support your readings.

A Dissertation in Creative Arts

Some degree programs in the arts allow students to undertake a portfolio of artworks or creative writing rather than produce an extended dissertation research project.However, in practice, your creative research will be required to be submitted along with a comprehensive evaluative paper, including background information and an explanation that hypothesises your innovative exercise.

While this might seem like an easy thing to do, critical evaluation of someone’s work is highly complex and notorious in nature. This further reinforces the argument of developing a rigorous methodology and adhering to it.

As a scholar, you will be expected to showcase the ability to critically analyse your methodology and show that you are capable of critically evaluating your own creative work.Such an approach will help you justify your method of creating the work, which will give the readers the impression that your research is grounded in theory.

What to Avoid in Methodology?

All chapters of a dissertation paper are interconnected. This means that there will undoubtedly be some information that would overlap between the different chapters of the dissertation .

For example, some of the text material may seem appropriate to both the literature review and methodology sections; you might even end up moving information from pillar to post between different chapters as you edit and improve your dissertation .

However, make sure that you are not making the following a part of your dissertation methodology, even though it may seem appropriate to fit them in there:

A Long Review of Methods Employed by Previous Researchers

It might seem relevant to include details of the models your dissertation methodology is based on. However, a detailed review of models and precedents used by other scholars and theorists will better fit in the literature review chapter, which you can link back to. This will help the readers understand why you decided to go in favour of or against a certain tactic.

Unnecessary Details Readers Might Not be Interested In

There is absolutely no need to provide extensive details of things like lab equipment and experiment procedures. Having such information in the methodology chapter would discourage some readers who might not be interested in your equipment, setup, lab environment, etc.

Your aim as the author of the document will be to retain the readers’ interest and make the methodology chapter as readable as possible.

While it is important to get all the information relating to how others can reproduce your experiment, it is equally important to ensure your methodology section isn’t unnecessarily long. Again, additional information is better to be placed within the appendices chapter.

The methodology is not the section to provide raw data, even if you are only discussing the data collection process. All such information should be moved to the appendices section.

Even if you feel some finding or numerical data is crucial to be presented within the methodology section, you can, at most, make brief comments about such data. Its discussion, however, is only allowed in the discussions section .

What Makes your Methodology Stand Out?

The factors which can determine if your dissertation methodology is ‘great’ depend on many factors, including the level of study you are currently enrolled in.

Undergraduate dissertations are, of course, less complex and less demanding. At most universities in the UK, undergraduate students are required to exhibit the ability to conduct thorough research as they engage for the first time with theoretical and conceptual frameworks in their chosen research area.

As an undergraduate student, you will be expected to showcase the capacity to reproduce what you have learnt from theorists in your academic subject, transform your leanings into a methodology that would help you address the research problem, and test the research hypothesis, as mentioned in the introduction chapter.

A great undergraduate-level dissertation will incorporate different schools of thought and make a valuable contribution to existing knowledge. However, in general, undergraduate-level dissertations’ focus should be to show thorough desk-based and independent research skills.

Postgraduate dissertation papers are much more compound and challenging because they are expected to make a substantial contribution to existing knowledge.

Depending on the academic institute, some postgraduate students are even required to develop a project published by leading academic journals as an approval of their research skills.

It is important to recognise the importance of a postgraduate dissertation towards building your professional career, especially if your work is considered impactful in your area of study and receives citations from multiple scholars, enhancing your reputation in academic communities.

Even if some academics cite your literature review and conclusion in their own work, it is a well-known fact that your methodology framework will result in many more citations regardless of your academic subject.

Other scholars and researchers in your area of study are likely to give much more value to a well-crafted methodology, especially one they can use as the starting point for their own research.

Of course, they can alter, refine and enhance your methodology in one way or another. They can even apply your methodological framework to a new data set or apply it in a completely new situation that is irrelevant to your work.

Finally, postgraduate dissertations are expected to be highly convincing and demonstrate in-depth engagement. They should be reproducible and show rigour, so the findings and conclusions can be regarded as authentic and reliable among scientific and academic communities.

The methodology is the door to success when it comes to dissertation projects. An original methodology that takes into consideration all aspects of research is likely to have an impact on the field of study.

As a postgraduate student, you should ask yourself, Is my dissertation methodology reproducible and transferable? Producing a methodology that others can reproduce in the future is as important as answering research questions .

The methodology chapter can either make or break the grade of your research/dissertation paper. It’s one of the research elements that leave a memorable impression on your readers. So, it would help if you took your time when it comes to choosing the right design and philosophical approach for your research.

Always use authentic academic sources and discuss your plans in detail with your supervisor if you believe your research design or approach has flaws in it.

Did this article help you learn how to write a dissertation methodology and how to structure a dissertation methodology? Let us know in your comments.

Are you struggling to create a thorough and well-rounded dissertation methodology?

Avail of our dissertation writing services ! At ResearchProspect, we have Master’s and PhD qualified dissertation writers for all academic subjects, so you can be confident that the writer we will assign to your dissertation order will be an expert in your field of study. They can help you with your whole dissertation or just a part of it. You decide how much or how little help you need.

You May Also Like

Are you looking for intriguing and trending dissertation topics? Get inspired by our list of free dissertation topics on all subjects.

Looking for an easy guide to follow to write your essay? Here is our detailed essay guide explaining how to write an essay and examples and types of an essay.

Learn about the steps required to successfully complete their research project. Make sure to follow these steps in their respective order.

More Interesting Articles

USEFUL LINKS

LEARNING RESOURCES

COMPANY DETAILS

• How It Works

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

• Knowledge Base
• Dissertation
• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on 25 February 2019 by Shona McCombes . Revised on 10 October 2022.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research.

It should include:

• The type of research you conducted
• How you collected and analysed your data
• Any tools or materials you used in the research
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

Instantly correct all language mistakes in your text

Be assured that you'll submit flawless writing. Upload your document to correct all your mistakes.

Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, frequently asked questions about methodology.

The only proofreading tool specialized in correcting academic writing

The academic proofreading tool has been trained on 1000s of academic texts and by native English editors. Making it the most accurate and reliable proofreading tool for students.

Correct my document today

Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalisable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalised your concepts and measured your variables. Discuss your sampling method or inclusion/exclusion criteria, as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on 4–8 July 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyse?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness shop’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods here.

Next, you should indicate how you processed and analysed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analysing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorising and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviours, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalised beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalisable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives  and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

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.

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.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. (2022, October 10). What Is a Research Methodology? | Steps & Tips. Scribbr. Retrieved 24 June 2024, from https://www.scribbr.co.uk/thesis-dissertation/methodology/

Is this article helpful?

Shona McCombes

Other students also liked, how to write a dissertation proposal | a step-by-step guide, what is a literature review | guide, template, & examples, what is a theoretical framework | a step-by-step guide.

Get science-backed answers as you write with Paperpal's Research feature

What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

Writing the methods section of a research paper? Let Paperpal help you achieve perfection

Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

Let Paperpal help you write the perfect research methods section. Start now!

What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

Got writer’s block? Kickstart your research paper writing with Paperpal now!

How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

Streamline Your Research Paper Writing Process with Paperpal

The methods section is a critical part of the research papers, allowing researchers to use this to understand your findings and replicate your work when pursuing their own research. However, it is usually also the most difficult section to write. This is where Paperpal can help you overcome the writer’s block and create the first draft in minutes with Paperpal Copilot, its secure generative AI feature suite.  

With Paperpal you can get research advice, write and refine your work, rephrase and verify the writing, and ensure submission readiness, all in one place. Here’s how you can use Paperpal to develop the first draft of your methods section.  

• Generate an outline: Input some details about your research to instantly generate an outline for your methods section 
• Develop the section: Use the outline and suggested sentence templates to expand your ideas and develop the first draft.  
• P araph ras e and trim : Get clear, concise academic text with paraphrasing that conveys your work effectively and word reduction to fix redundancies. 
• Choose the right words: Enhance text by choosing contextual synonyms based on how the words have been used in previously published work.  
• Check and verify text : Make sure the generated text showcases your methods correctly, has all the right citations, and is original and authentic. .   

You can repeat this process to develop each section of your research manuscript, including the title, abstract and keywords. Ready to write your research papers faster, better, and without the stress? Sign up for Paperpal and start writing today!

Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

Accelerate your research paper writing with Paperpal. Try for free now!

• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Dangling Modifiers and How to Avoid Them in Your Writing 
• Webinar: How to Use Generative AI Tools Ethically in Your Academic Writing
• Research Outlines: How to Write An Introduction Section in Minutes with Paperpal Copilot
• How to Paraphrase Research Papers Effectively

Language and Grammar Rules for Academic Writing

Climatic vs. climactic: difference and examples, you may also like, how to structure an essay, leveraging generative ai to enhance student understanding of..., how to write a good hook for essays,..., addressing peer review feedback and mastering manuscript revisions..., how paperpal can boost comprehension and foster interdisciplinary..., what is the importance of a concept paper..., how to write the first draft of a..., mla works cited page: format, template & examples, how to ace grant writing for research funding..., powerful academic phrases to improve your essay writing .

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• 6. The Methodology
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

Kallet, Richard H. "How to Write the Methods Section of a Research Paper." Respiratory Care 49 (October 2004): 1229-1232.

Importance of a Good Methodology Section

You must explain how you obtained and analyzed your results for the following reasons:

• Readers need to know how the data was obtained because the method you chose affects the results and, by extension, how you interpreted their significance in the discussion section of your paper.
• Methodology is crucial for any branch of scholarship because an unreliable method produces unreliable results and, as a consequence, undermines the value of your analysis of the findings.
• In most cases, there are a variety of different methods you can choose to investigate a research problem. The methodology section of your paper should clearly articulate the reasons why you have chosen a particular procedure or technique.
• The reader wants to know that the data was collected or generated in a way that is consistent with accepted practice in the field of study. For example, if you are using a multiple choice questionnaire, readers need to know that it offered your respondents a reasonable range of answers to choose from.
• The method must be appropriate to fulfilling the overall aims of the study. For example, you need to ensure that you have a large enough sample size to be able to generalize and make recommendations based upon the findings.
• The methodology should discuss the problems that were anticipated and the steps you took to prevent them from occurring. For any problems that do arise, you must describe the ways in which they were minimized or why these problems do not impact in any meaningful way your interpretation of the findings.
• In the social and behavioral sciences, it is important to always provide sufficient information to allow other researchers to adopt or replicate your methodology. This information is particularly important when a new method has been developed or an innovative use of an existing method is utilized.

Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects . 5th edition. Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008.

Structure and Writing Style

I.  Groups of Research Methods

There are two main groups of research methods in the social sciences:

• The e mpirical-analytical group approaches the study of social sciences in a similar manner that researchers study the natural sciences . This type of research focuses on objective knowledge, research questions that can be answered yes or no, and operational definitions of variables to be measured. The empirical-analytical group employs deductive reasoning that uses existing theory as a foundation for formulating hypotheses that need to be tested. This approach is focused on explanation.
• The i nterpretative group of methods is focused on understanding phenomenon in a comprehensive, holistic way . Interpretive methods focus on analytically disclosing the meaning-making practices of human subjects [the why, how, or by what means people do what they do], while showing how those practices arrange so that it can be used to generate observable outcomes. Interpretive methods allow you to recognize your connection to the phenomena under investigation. However, the interpretative group requires careful examination of variables because it focuses more on subjective knowledge.

II.  Content

The introduction to your methodology section should begin by restating the research problem and underlying assumptions underpinning your study. This is followed by situating the methods you used to gather, analyze, and process information within the overall “tradition” of your field of study and within the particular research design you have chosen to study the problem. If the method you choose lies outside of the tradition of your field [i.e., your review of the literature demonstrates that the method is not commonly used], provide a justification for how your choice of methods specifically addresses the research problem in ways that have not been utilized in prior studies.

The remainder of your methodology section should describe the following:

• Decisions made in selecting the data you have analyzed or, in the case of qualitative research, the subjects and research setting you have examined,
• Tools and methods used to identify and collect information, and how you identified relevant variables,
• The ways in which you processed the data and the procedures you used to analyze that data, and
• The specific research tools or strategies that you utilized to study the underlying hypothesis and research questions.

In addition, an effectively written methodology section should:

• Introduce the overall methodological approach for investigating your research problem . Is your study qualitative or quantitative or a combination of both (mixed method)? Are you going to take a special approach, such as action research, or a more neutral stance?
• Indicate how the approach fits the overall research design . Your methods for gathering data should have a clear connection to your research problem. In other words, make sure that your methods will actually address the problem. One of the most common deficiencies found in research papers is that the proposed methodology is not suitable to achieving the stated objective of your paper.
• Describe the specific methods of data collection you are going to use , such as, surveys, interviews, questionnaires, observation, archival research. If you are analyzing existing data, such as a data set or archival documents, describe how it was originally created or gathered and by whom. Also be sure to explain how older data is still relevant to investigating the current research problem.
• Explain how you intend to analyze your results . Will you use statistical analysis? Will you use specific theoretical perspectives to help you analyze a text or explain observed behaviors? Describe how you plan to obtain an accurate assessment of relationships, patterns, trends, distributions, and possible contradictions found in the data.
• Provide background and a rationale for methodologies that are unfamiliar for your readers . Very often in the social sciences, research problems and the methods for investigating them require more explanation/rationale than widely accepted rules governing the natural and physical sciences. Be clear and concise in your explanation.
• Provide a justification for subject selection and sampling procedure . For instance, if you propose to conduct interviews, how do you intend to select the sample population? If you are analyzing texts, which texts have you chosen, and why? If you are using statistics, why is this set of data being used? If other data sources exist, explain why the data you chose is most appropriate to addressing the research problem.
• Provide a justification for case study selection . A common method of analyzing research problems in the social sciences is to analyze specific cases. These can be a person, place, event, phenomenon, or other type of subject of analysis that are either examined as a singular topic of in-depth investigation or multiple topics of investigation studied for the purpose of comparing or contrasting findings. In either method, you should explain why a case or cases were chosen and how they specifically relate to the research problem.
• Describe potential limitations . Are there any practical limitations that could affect your data collection? How will you attempt to control for potential confounding variables and errors? If your methodology may lead to problems you can anticipate, state this openly and show why pursuing this methodology outweighs the risk of these problems cropping up.

NOTE:   Once you have written all of the elements of the methods section, subsequent revisions should focus on how to present those elements as clearly and as logically as possibly. The description of how you prepared to study the research problem, how you gathered the data, and the protocol for analyzing the data should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. If necessary, consider using appendices for raw data.

ANOTHER NOTE: If you are conducting a qualitative analysis of a research problem , the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods. Because you are the primary instrument for generating the data [e.g., through interviews or observations], the process for collecting that data has a significantly greater impact on producing the findings. Therefore, qualitative research requires a more detailed description of the methods used.

YET ANOTHER NOTE:   If your study involves interviews, observations, or other qualitative techniques involving human subjects , you may be required to obtain approval from the university's Office for the Protection of Research Subjects before beginning your research. This is not a common procedure for most undergraduate level student research assignments. However, i f your professor states you need approval, you must include a statement in your methods section that you received official endorsement and adequate informed consent from the office and that there was a clear assessment and minimization of risks to participants and to the university. This statement informs the reader that your study was conducted in an ethical and responsible manner. In some cases, the approval notice is included as an appendix to your paper.

III.  Problems to Avoid

Irrelevant Detail The methodology section of your paper should be thorough but concise. Do not provide any background information that does not directly help the reader understand why a particular method was chosen, how the data was gathered or obtained, and how the data was analyzed in relation to the research problem [note: analyzed, not interpreted! Save how you interpreted the findings for the discussion section]. With this in mind, the page length of your methods section will generally be less than any other section of your paper except the conclusion.

Unnecessary Explanation of Basic Procedures Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you applied a method , not on the mechanics of doing a method. An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.

Problem Blindness It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials. Do not ignore these problems or pretend they did not occur. Often, documenting how you overcame obstacles can form an interesting part of the methodology. It demonstrates to the reader that you can provide a cogent rationale for the decisions you made to minimize the impact of any problems that arose.

Literature Review Just as the literature review section of your paper provides an overview of sources you have examined while researching a particular topic, the methodology section should cite any sources that informed your choice and application of a particular method [i.e., the choice of a survey should include any citations to the works you used to help construct the survey].

It’s More than Sources of Information! A description of a research study's method should not be confused with a description of the sources of information. Such a list of sources is useful in and of itself, especially if it is accompanied by an explanation about the selection and use of the sources. The description of the project's methodology complements a list of sources in that it sets forth the organization and interpretation of information emanating from those sources.

Azevedo, L.F. et al. "How to Write a Scientific Paper: Writing the Methods Section." Revista Portuguesa de Pneumologia 17 (2011): 232-238; Blair Lorrie. “Choosing a Methodology.” In Writing a Graduate Thesis or Dissertation , Teaching Writing Series. (Rotterdam: Sense Publishers 2016), pp. 49-72; Butin, Dan W. The Education Dissertation A Guide for Practitioner Scholars . Thousand Oaks, CA: Corwin, 2010; Carter, Susan. Structuring Your Research Thesis . New York: Palgrave Macmillan, 2012; Kallet, Richard H. “How to Write the Methods Section of a Research Paper.” Respiratory Care 49 (October 2004):1229-1232; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008. Methods Section. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Rudestam, Kjell Erik and Rae R. Newton. “The Method Chapter: Describing Your Research Plan.” In Surviving Your Dissertation: A Comprehensive Guide to Content and Process . (Thousand Oaks, Sage Publications, 2015), pp. 87-115; What is Interpretive Research. Institute of Public and International Affairs, University of Utah; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University; Methods and Materials. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests. A qualitative approach, such as conducting interviews or content analysis of archival texts, can yield exciting new insights about a research problem, but it should not be undertaken simply because you have a disdain for running a simple regression. A well designed quantitative research study can often be accomplished in very clear and direct ways, whereas, a similar study of a qualitative nature usually requires considerable time to analyze large volumes of data and a tremendous burden to create new paths for analysis where previously no path associated with your research problem had existed.

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

There can be multiple meaning associated with the term "theories" and the term "methods" in social sciences research. A helpful way to delineate between them is to understand "theories" as representing different ways of characterizing the social world when you research it and "methods" as representing different ways of generating and analyzing data about that social world. Framed in this way, all empirical social sciences research involves theories and methods, whether they are stated explicitly or not. However, while theories and methods are often related, it is important that, as a researcher, you deliberately separate them in order to avoid your theories playing a disproportionate role in shaping what outcomes your chosen methods produce.

Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem. This is how scholarship grows and branches out into new intellectual territory.

Reynolds, R. Larry. Ways of Knowing. Alternative Microeconomics . Part 1, Chapter 3. Boise State University; The Theory-Method Relationship. S-Cool Revision. United Kingdom.

Yet Another Writing Tip

Methods and the Methodology

Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research . Descriptions of methods usually include defining and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].

The methodology refers to a discussion of the underlying reasoning why particular methods were used . This discussion includes describing the theoretical concepts that inform the choice of methods to be applied, placing the choice of methods within the more general nature of academic work, and reviewing its relevance to examining the research problem. The methodology section also includes a thorough review of the methods other scholars have used to study the topic.

Bryman, Alan. "Of Methods and Methodology." Qualitative Research in Organizations and Management: An International Journal 3 (2008): 159-168; Schneider, Florian. “What's in a Methodology: The Difference between Method, Methodology, and Theory…and How to Get the Balance Right?” PoliticsEastAsia.com. Chinese Department, University of Leiden, Netherlands.

• << Previous: Scholarly vs. Popular Publications
• Next: Qualitative Methods >>
• Last Updated: Jun 18, 2024 10:45 AM
• URL: https://libguides.usc.edu/writingguide

Writing the Research Methodology Section of Your Thesis

This article explains the meaning of research methodology and the purpose and importance of writing a research methodology section or chapter for your thesis paper. It discusses what to include and not include in a research methodology section, the different approaches to research methodology that can be used, and the steps involved in writing a robust research methodology section.

What is a thesis research methodology?

A thesis research methodology explains the type of research performed, justifies the methods that you chose   by linking back to the literature review , and describes the data collection and analysis procedures. It is included in your thesis after the Introduction section . Most importantly, this is the section where the readers of your study evaluate its validity and reliability.

What should the research methodology section in your thesis include?

• The aim of your thesis
• An outline of the research methods chosen (qualitative, quantitative, or mixed methods)
• Background and rationale for the methods chosen, explaining why one method was chosen over another
• Methods used for data collection and data analysis
• Materials and equipment used—keep this brief
• Difficulties encountered during data collection and analysis. It is expected that problems will occur during your research process. Use this as an opportunity to demonstrate your problem-solving abilities by explaining how you overcame all obstacles. This builds your readers’ confidence in your study findings.
• A brief evaluation of your research explaining whether your results were conclusive and whether your choice of methodology was effective in practice

What should not be included in the research methodology section of your thesis?

• Irrelevant details, for example, an extensive review of methodologies (this belongs in the literature review section) or information that does not contribute to the readers’ understanding of your chosen methods
• A description of basic procedures
• Excessive details about materials and equipment used. If an extremely long and detailed list is necessary, add it as an appendix

Types of methodological approaches

The choice of which methodological approach to use depends on your field of research and your thesis question. Your methodology should establish a clear relationship with your thesis question and must also be supported by your  literature review . Types of methodological approaches include quantitative, qualitative, or mixed methods. 

Quantitative studies generate data in the form of numbers   to count, classify, measure, or identify relationships or patterns. Information may be collected by performing experiments and tests, conducting surveys, or using existing data. The data are analyzed using  statistical tests and presented as charts or graphs. Quantitative data are typically used in the Sciences domain.

For example, analyzing the effect of a change, such as alterations in electricity consumption by municipalities after installing LED streetlights.

The raw data will need to be prepared for statistical analysis by identifying variables and checking for missing data and outliers. Details of the statistical software program used (name of the package, version number, and supplier name and location) must also be mentioned.

Qualitative studies gather non-numerical data using, for example, observations, focus groups, and in-depth interviews.   Open-ended questions are often posed. This yields rich, detailed, and descriptive results. Qualitative studies are usually   subjective and are helpful for investigating social and cultural phenomena, which are difficult to quantify. Qualitative studies are typically used in the Humanities and Social Sciences (HSS) domain.

For example, determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays.

The raw data will need to be prepared for analysis by coding and categorizing ideas and themes to interpret the meaning behind the responses given.

Mixed methods use a combination of quantitative and qualitative approaches to present multiple findings about a single phenomenon. T his enables triangulation: verification of the data from two or more sources.

Data collection

Explain the rationale behind the sampling procedure you have chosen. This could involve probability sampling (a random sample from the study population) or non-probability sampling (does not use a random sample).

For quantitative studies, describe the sampling procedure and whether statistical tests were used to determine the  sample size .

Following our example of analyzing the changes in electricity consumption by municipalities after installing LED streetlights, you will need to determine which municipal areas will be sampled and how the information will be gathered (e.g., a physical survey of the streetlights or reviewing purchase orders).

For qualitative research, describe how the participants were chosen and how the data is going to be collected.

Following our example about determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays, you will need to decide the criteria for inclusion as a study participant (e.g., women aged 20–70 years, bakeries, and bakery supply shops) and how the information will be collected (e.g., interviews, focus groups, online or in-person questionnaires, or video recordings) .

Data analysis

For quantitative research, describe what tests you plan to perform and why you have chosen them. Popular data analysis methods in quantitative research include:

• Descriptive statistics (e.g., means, medians, modes)
• Inferential statistics (e.g., correlation, regression, structural equation modeling)

For qualitative research, describe how the data is going to be analyzed and justify your choice. Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Grounded theory
• Interpretative phenomenological analysis (IPA)

Evaluate and justify your methodological choices

You need to convince the reader that you have made the correct methodological choices. Once again, this ties back to your thesis question and  literature review . Write using a persuasive tone, and use  rhetoric to convince the reader of the quality, reliability, and validity of your research.

Ethical considerations

• The young researcher should maintain objectivity at all times
• All participants have the right to privacy and anonymity
• Research participation must be voluntary
• All subjects have the right to withdraw from the research at any time
• Consent must be obtained from all participants before starting the research
• Confidentiality of data provided by individuals must be maintained
• Consider how the interpretation and reporting of the data will affect the participants

Tips for writing a robust thesis research methodology

• Determine what kind of knowledge you are trying to uncover. For example, subjective or objective, experimental or interpretive.
• A thorough literature review is the best starting point for choosing your methods.
• Ensure that there is continuity throughout the research process. The authenticity of your research depends upon the validity of the research data, the reliability of your data measurements, and the time taken to conduct the analysis.
• Choose a research method that is achievable. Consider the time and funds available, feasibility, ethics, and access and availability of equipment to measure the phenomenon or answer your thesis question correctly.
• If you are struggling with a concept, ask for help from your supervisor, academic staff members, or fellow students.

A thesis methodology justifies why you have chosen a specific approach to address your thesis question. It explains how you will collect the data and analyze it. Above all, it allows the readers of your study to evaluate its validity and reliability.

A thesis is the most crucial document that you will write during your academic studies. For professional thesis editing and thesis proofreading services, visit  Enago Thesis Editing for more information.

Editor’s pick

Get free updates.

Subscribe to our newsletter for regular insights from the research and publishing industry!

Review Checklist

Introduce your methodological approach , for example, quantitative, qualitative, or mixed methods.

Explain why your chosen approach is relevant to the overall research design and how it links with your  thesis question.

Justify your chosen method and why it is more appropriate than others.

Provide background information on methods that may be unfamiliar to readers of your thesis.

Introduce the tools that you will use for data collection , and explain how you plan to use them (e.g., surveys, interviews, experiments, or existing data).

Explain how you will analyze your results. The type of analysis used depends on the methods you chose. For example, exploring theoretical perspectives to support your explanation of observed behaviors in a qualitative study or using statistical analyses in a quantitative study.

Mention any research limitations. All studies are expected to have limitations, such as the sample size, data collection method, or equipment. Discussing the limitations justifies your choice of methodology despite the risks. It also explains under which conditions the results should be interpreted and shows that you have taken a holistic approach to your study.

What is the difference between methodology and methods? +

Methodology  refers to the overall rationale and strategy of your thesis project. It involves studying the theories or principles behind the methods used in your field so that you can explain why you chose a particular method for your research approach.  Methods , on the other hand, refer to how the data were collected and analyzed (e.g., experiments, surveys, observations, interviews, and statistical tests).

What is the difference between reliability and validity? +

Reliability refers to whether a measurement is consistent (i.e., the results can be reproduced under the same conditions).  Validity refers to whether a measurement is accurate (i.e., the results represent what was supposed to be measured). For example, when investigating linguistic and cultural guidelines for administration of the Preschool Language Scales, Fifth Edition (PLS5) in Arab-American preschool children, the normative sample curves should show the same distribution as a monolingual population, which would indicate that the test is valid. The test would be considered reliable if the results obtained were consistent across different sampling sites.

What tense is used to write the methods section? +

The methods section is written in the past tense because it describes what was done.

What software programs are recommended for statistical analysis? +

Recommended programs include Statistical Analysis Software (SAS) ,  Statistical Package for the Social Sciences (SPSS) ,  JMP ,  R software,  MATLAB , Microsoft Excel,  GraphPad Prism , and  Minitab .

• Resources Home 🏠
• Try SciSpace Copilot
• Search research papers
• Add Copilot Extension
• Try AI Detector
• Try Paraphraser
• Try Citation Generator
• April Papers
• June Papers
• July Papers

What is a thesis | A Complete Guide with Examples

Table of Contents

A thesis is a comprehensive academic paper based on your original research that presents new findings, arguments, and ideas of your study. It’s typically submitted at the end of your master’s degree or as a capstone of your bachelor’s degree.

However, writing a thesis can be laborious, especially for beginners. From the initial challenge of pinpointing a compelling research topic to organizing and presenting findings, the process is filled with potential pitfalls.

Therefore, to help you, this guide talks about what is a thesis. Additionally, it offers revelations and methodologies to transform it from an overwhelming task to a manageable and rewarding academic milestone.

What is a thesis?

A thesis is an in-depth research study that identifies a particular topic of inquiry and presents a clear argument or perspective about that topic using evidence and logic.

Writing a thesis showcases your ability of critical thinking, gathering evidence, and making a compelling argument. Integral to these competencies is thorough research, which not only fortifies your propositions but also confers credibility to your entire study.

Furthermore, there's another phenomenon you might often confuse with the thesis: the ' working thesis .' However, they aren't similar and shouldn't be used interchangeably.

A working thesis, often referred to as a preliminary or tentative thesis, is an initial version of your thesis statement. It serves as a draft or a starting point that guides your research in its early stages.

As you research more and gather more evidence, your initial thesis (aka working thesis) might change. It's like a starting point that can be adjusted as you learn more. It's normal for your main topic to change a few times before you finalize it.

While a thesis identifies and provides an overarching argument, the key to clearly communicating the central point of that argument lies in writing a strong thesis statement.

What is a thesis statement?

A strong thesis statement (aka thesis sentence) is a concise summary of the main argument or claim of the paper. It serves as a critical anchor in any academic work, succinctly encapsulating the primary argument or main idea of the entire paper.

Typically found within the introductory section, a strong thesis statement acts as a roadmap of your thesis, directing readers through your arguments and findings. By delineating the core focus of your investigation, it offers readers an immediate understanding of the context and the gravity of your study.

Furthermore, an effectively crafted thesis statement can set forth the boundaries of your research, helping readers anticipate the specific areas of inquiry you are addressing.

Different types of thesis statements

A good thesis statement is clear, specific, and arguable. Therefore, it is necessary for you to choose the right type of thesis statement for your academic papers.

Thesis statements can be classified based on their purpose and structure. Here are the primary types of thesis statements:

Argumentative (or Persuasive) thesis statement

Purpose : To convince the reader of a particular stance or point of view by presenting evidence and formulating a compelling argument.

Example : Reducing plastic use in daily life is essential for environmental health.

Analytical thesis statement

Purpose : To break down an idea or issue into its components and evaluate it.

Example : By examining the long-term effects, social implications, and economic impact of climate change, it becomes evident that immediate global action is necessary.

Expository (or Descriptive) thesis statement

Purpose : To explain a topic or subject to the reader.

Example : The Great Depression, spanning the 1930s, was a severe worldwide economic downturn triggered by a stock market crash, bank failures, and reduced consumer spending.

Cause and effect thesis statement

Purpose : To demonstrate a cause and its resulting effect.

Example : Overuse of smartphones can lead to impaired sleep patterns, reduced face-to-face social interactions, and increased levels of anxiety.

Compare and contrast thesis statement

Purpose : To highlight similarities and differences between two subjects.

Example : "While both novels '1984' and 'Brave New World' delve into dystopian futures, they differ in their portrayal of individual freedom, societal control, and the role of technology."

When you write a thesis statement , it's important to ensure clarity and precision, so the reader immediately understands the central focus of your work.

What is the difference between a thesis and a thesis statement?

While both terms are frequently used interchangeably, they have distinct meanings.

A thesis refers to the entire research document, encompassing all its chapters and sections. In contrast, a thesis statement is a brief assertion that encapsulates the central argument of the research.

Here’s an in-depth differentiation table of a thesis and a thesis statement.

Now, to craft a compelling thesis, it's crucial to adhere to a specific structure. Let’s break down these essential components that make up a thesis structure

15 components of a thesis structure

Navigating a thesis can be daunting. However, understanding its structure can make the process more manageable.

Here are the key components or different sections of a thesis structure:

Your thesis begins with the title page. It's not just a formality but the gateway to your research.

Here, you'll prominently display the necessary information about you (the author) and your institutional details.

• Title of your thesis
• Your full name
• Your department
• Your institution and degree program
• Your submission date
• Your Supervisor's name (in some cases)
• Your Department or faculty (in some cases)
• Your University's logo (in some cases)
• Your Student ID (in some cases)

In a concise manner, you'll have to summarize the critical aspects of your research in typically no more than 200-300 words.

This includes the problem statement, methodology, key findings, and conclusions. For many, the abstract will determine if they delve deeper into your work, so ensure it's clear and compelling.

Acknowledgments

Research is rarely a solitary endeavor. In the acknowledgments section, you have the chance to express gratitude to those who've supported your journey.

This might include advisors, peers, institutions, or even personal sources of inspiration and support. It's a personal touch, reflecting the humanity behind the academic rigor.

Table of contents

A roadmap for your readers, the table of contents lists the chapters, sections, and subsections of your thesis.

By providing page numbers, you allow readers to navigate your work easily, jumping to sections that pique their interest.

List of figures and tables

Research often involves data, and presenting this data visually can enhance understanding. This section provides an organized listing of all figures and tables in your thesis.

It's a visual index, ensuring that readers can quickly locate and reference your graphical data.

Introduction

Here's where you introduce your research topic, articulate the research question or objective, and outline the significance of your study.

• Present the research topic : Clearly articulate the central theme or subject of your research.
• Background information : Ground your research topic, providing any necessary context or background information your readers might need to understand the significance of your study.
• Define the scope : Clearly delineate the boundaries of your research, indicating what will and won't be covered.
• Literature review : Introduce any relevant existing research on your topic, situating your work within the broader academic conversation and highlighting where your research fits in.
• State the research Question(s) or objective(s) : Clearly articulate the primary questions or objectives your research aims to address.
• Outline the study's structure : Give a brief overview of how the subsequent sections of your work will unfold, guiding your readers through the journey ahead.

The introduction should captivate your readers, making them eager to delve deeper into your research journey.

Literature review section

Your study correlates with existing research. Therefore, in the literature review section, you'll engage in a dialogue with existing knowledge, highlighting relevant studies, theories, and findings.

It's here that you identify gaps in the current knowledge, positioning your research as a bridge to new insights.

To streamline this process, consider leveraging AI tools. For example, the SciSpace literature review tool enables you to efficiently explore and delve into research papers, simplifying your literature review journey.

Methodology

In the research methodology section, you’ll detail the tools, techniques, and processes you employed to gather and analyze data. This section will inform the readers about how you approached your research questions and ensures the reproducibility of your study.

Here's a breakdown of what it should encompass:

• Research Design : Describe the overall structure and approach of your research. Are you conducting a qualitative study with in-depth interviews? Or is it a quantitative study using statistical analysis? Perhaps it's a mixed-methods approach?
• Data Collection : Detail the methods you used to gather data. This could include surveys, experiments, observations, interviews, archival research, etc. Mention where you sourced your data, the duration of data collection, and any tools or instruments used.
• Sampling : If applicable, explain how you selected participants or data sources for your study. Discuss the size of your sample and the rationale behind choosing it.
• Data Analysis : Describe the techniques and tools you used to process and analyze the data. This could range from statistical tests in quantitative research to thematic analysis in qualitative research.
• Validity and Reliability : Address the steps you took to ensure the validity and reliability of your findings to ensure that your results are both accurate and consistent.
• Ethical Considerations : Highlight any ethical issues related to your research and the measures you took to address them, including — informed consent, confidentiality, and data storage and protection measures.

Moreover, different research questions necessitate different types of methodologies. For instance:

• Experimental methodology : Often used in sciences, this involves a controlled experiment to discern causality.
• Qualitative methodology : Employed when exploring patterns or phenomena without numerical data. Methods can include interviews, focus groups, or content analysis.
• Quantitative methodology : Concerned with measurable data and often involves statistical analysis. Surveys and structured observations are common tools here.
• Mixed methods : As the name implies, this combines both qualitative and quantitative methodologies.

The Methodology section isn’t just about detailing the methods but also justifying why they were chosen. The appropriateness of the methods in addressing your research question can significantly impact the credibility of your findings.

Results (or Findings)

This section presents the outcomes of your research. It's crucial to note that the nature of your results may vary; they could be quantitative, qualitative, or a mix of both.

Quantitative results often present statistical data, showcasing measurable outcomes, and they benefit from tables, graphs, and figures to depict these data points.

Qualitative results , on the other hand, might delve into patterns, themes, or narratives derived from non-numerical data, such as interviews or observations.

Regardless of the nature of your results, clarity is essential. This section is purely about presenting the data without offering interpretations — that comes later in the discussion.

In the discussion section, the raw data transforms into valuable insights.

Start by revisiting your research question and contrast it with the findings. How do your results expand, constrict, or challenge current academic conversations?

Dive into the intricacies of the data, guiding the reader through its implications. Detail potential limitations transparently, signaling your awareness of the research's boundaries. This is where your academic voice should be resonant and confident.

Practical implications (Recommendation) section

Based on the insights derived from your research, this section provides actionable suggestions or proposed solutions.

Whether aimed at industry professionals or the general public, recommendations translate your academic findings into potential real-world actions. They help readers understand the practical implications of your work and how it can be applied to effect change or improvement in a given field.

When crafting recommendations, it's essential to ensure they're feasible and rooted in the evidence provided by your research. They shouldn't merely be aspirational but should offer a clear path forward, grounded in your findings.

The conclusion provides closure to your research narrative.

It's not merely a recap but a synthesis of your main findings and their broader implications. Reconnect with the research questions or hypotheses posited at the beginning, offering clear answers based on your findings.

Reflect on the broader contributions of your study, considering its impact on the academic community and potential real-world applications.

Lastly, the conclusion should leave your readers with a clear understanding of the value and impact of your study.

References (or Bibliography)

Every theory you've expounded upon, every data point you've cited, and every methodological precedent you've followed finds its acknowledgment here.

In references, it's crucial to ensure meticulous consistency in formatting, mirroring the specific guidelines of the chosen citation style .

Proper referencing helps to avoid plagiarism , gives credit to original ideas, and allows readers to explore topics of interest. Moreover, it situates your work within the continuum of academic knowledge.

To properly cite the sources used in the study, you can rely on online citation generator tools  to generate accurate citations!

Here’s more on how you can cite your sources.

Often, the depth of research produces a wealth of material that, while crucial, can make the core content of the thesis cumbersome. The appendix is where you mention extra information that supports your research but isn't central to the main text.

Whether it's raw datasets, detailed procedural methodologies, extended case studies, or any other ancillary material, the appendices ensure that these elements are archived for reference without breaking the main narrative's flow.

For thorough researchers and readers keen on meticulous details, the appendices provide a treasure trove of insights.

Glossary (optional)

In academics, specialized terminologies, and jargon are inevitable. However, not every reader is versed in every term.

The glossary, while optional, is a critical tool for accessibility. It's a bridge ensuring that even readers from outside the discipline can access, understand, and appreciate your work.

By defining complex terms and providing context, you're inviting a wider audience to engage with your research, enhancing its reach and impact.

Remember, while these components provide a structured framework, the essence of your thesis lies in the originality of your ideas, the rigor of your research, and the clarity of your presentation.

As you craft each section, keep your readers in mind, ensuring that your passion and dedication shine through every page.

Thesis examples

To further elucidate the concept of a thesis, here are illustrative examples from various fields:

Example 1 (History): Abolition, Africans, and Abstraction: the Influence of the ‘Noble Savage’ on British and French Antislavery Thought, 1787-1807 by Suchait Kahlon.

Example 2 (Climate Dynamics): Influence of external forcings on abrupt millennial-scale climate changes: a statistical modelling study by Takahito Mitsui · Michel Crucifix

Checklist for your thesis evaluation

Evaluating your thesis ensures that your research meets the standards of academia. Here's an elaborate checklist to guide you through this critical process.

Content and structure

• Is the thesis statement clear, concise, and debatable?
• Does the introduction provide sufficient background and context?
• Is the literature review comprehensive, relevant, and well-organized?
• Does the methodology section clearly describe and justify the research methods?
• Are the results/findings presented clearly and logically?
• Does the discussion interpret the results in light of the research question and existing literature?
• Is the conclusion summarizing the research and suggesting future directions or implications?

Clarity and coherence

• Is the writing clear and free of jargon?
• Are ideas and sections logically connected and flowing?
• Is there a clear narrative or argument throughout the thesis?

Research quality

• Is the research question significant and relevant?
• Are the research methods appropriate for the question?
• Is the sample size (if applicable) adequate?
• Are the data analysis techniques appropriate and correctly applied?
• Are potential biases or limitations addressed?

Originality and significance

• Does the thesis contribute new knowledge or insights to the field?
• Is the research grounded in existing literature while offering fresh perspectives?

Formatting and presentation

• Is the thesis formatted according to institutional guidelines?
• Are figures, tables, and charts clear, labeled, and referenced in the text?
• Is the bibliography or reference list complete and consistently formatted?
• Are appendices relevant and appropriately referenced in the main text?

Grammar and language

• Is the thesis free of grammatical and spelling errors?
• Is the language professional, consistent, and appropriate for an academic audience?
• Are quotations and paraphrased material correctly cited?

Feedback and revision

• Have you sought feedback from peers, advisors, or experts in the field?
• Have you addressed the feedback and made the necessary revisions?

Overall assessment

• Does the thesis as a whole feel cohesive and comprehensive?
• Would the thesis be understandable and valuable to someone in your field?

Ensure to use this checklist to leave no ground for doubt or missed information in your thesis.

After writing your thesis, the next step is to discuss and defend your findings verbally in front of a knowledgeable panel. You’ve to be well prepared as your professors may grade your presentation abilities.

Preparing your thesis defense

A thesis defense, also known as "defending the thesis," is the culmination of a scholar's research journey. It's the final frontier, where you’ll present their findings and face scrutiny from a panel of experts.

Typically, the defense involves a public presentation where you’ll have to outline your study, followed by a question-and-answer session with a committee of experts. This committee assesses the validity, originality, and significance of the research.

The defense serves as a rite of passage for scholars. It's an opportunity to showcase expertise, address criticisms, and refine arguments. A successful defense not only validates the research but also establishes your authority as a researcher in your field.

Here’s how you can effectively prepare for your thesis defense .

Now, having touched upon the process of defending a thesis, it's worth noting that scholarly work can take various forms, depending on academic and regional practices.

One such form, often paralleled with the thesis, is the 'dissertation.' But what differentiates the two?

Dissertation vs. Thesis

Often used interchangeably in casual discourse, they refer to distinct research projects undertaken at different levels of higher education.

To the uninitiated, understanding their meaning might be elusive. So, let's demystify these terms and delve into their core differences.

Here's a table differentiating between the two.

Wrapping up

From understanding the foundational concept of a thesis to navigating its various components, differentiating it from a dissertation, and recognizing the importance of proper citation — this guide covers it all.

As scholars and readers, understanding these nuances not only aids in academic pursuits but also fosters a deeper appreciation for the relentless quest for knowledge that drives academia.

It’s important to remember that every thesis is a testament to curiosity, dedication, and the indomitable spirit of discovery.

Good luck with your thesis writing!

Frequently Asked Questions

A thesis typically ranges between 40-80 pages, but its length can vary based on the research topic, institution guidelines, and level of study.

A PhD thesis usually spans 200-300 pages, though this can vary based on the discipline, complexity of the research, and institutional requirements.

To identify a thesis topic, consider current trends in your field, gaps in existing literature, personal interests, and discussions with advisors or mentors. Additionally, reviewing related journals and conference proceedings can provide insights into potential areas of exploration.

The conceptual framework is often situated in the literature review or theoretical framework section of a thesis. It helps set the stage by providing the context, defining key concepts, and explaining the relationships between variables.

A thesis statement should be concise, clear, and specific. It should state the main argument or point of your research. Start by pinpointing the central question or issue your research addresses, then condense that into a single statement, ensuring it reflects the essence of your paper.

You might also like

Boosting Citations: A Comparative Analysis of Graphical Abstract vs. Video Abstract

The Impact of Visual Abstracts on Boosting Citations

Introducing SciSpace’s Citation Booster To Increase Research Visibility

Reference management. Clean and simple.

How to come up with a topic for your thesis

Finding a thesis topic

The easiest method to choose a thesis topic, how to choose a thesis topic that will get you a job, ask your supervisor for help, found my thesis topic, now what, further tips on finding a thesis topic, frequently asked questions about coming up with a topic for your thesis, related articles.

Depending on the level of your studies, you will be required to come up with a topic for your thesis by yourself or to choose from a list of broad topics. In either case, you will need to:

• Choose a specific scope
• Narrow it down as much as you can.
• Find a topic by considering specific debates or discussions that interest you.
• Choose a topic based on phenomenon, point of view, and context.
• Consider the relevance of your topic in relation to job market realities.
• Ask your supervisor for help and guidance, as needed.

Tip: Balance your own interests with what can help you grow in your field..

In any case, you can start by asking yourself if you’ve attended any lecture where you were particularly interested in a certain subject and go from there. The following questions might help you shine a light on personal topics of interest:

• What aspect of your studies holds a particular interest for you?
• Was something mentioned in a discussion that you found intriguing?
• Did you read about a theory or idea that spoke to you?

Ideas for a thesis can stem from many sources, so let your mind wander and see if anything tickles your curiosity. A thesis is a chance for you to spend some quality time with a certain aspect of your studies, so you better think of a topic that not only appeals to you but will also help you grow in your field.

Tip: Use phenomenon, point of view, and context to help you choose a balanced thesis topic.

We can all agree that choosing a topic for a thesis or any paper is one, if not the most, difficult steps in writing. However, according to Sahlman's How to Write a Master Thesis Fast , choosing a topic for your thesis is rather easy if you focus on the three following areas:

• Point of view

Focus on a specific phenomenon as the center of your thesis. For example, "queer rights" or "climate change". Next, you choose a point of view. From what perspective do you see the phenomenon? For instance, “American culture” or “legally/ financially”. Finally, you narrow it down to a particular context, such as “from 2000 to 2010” or “small German enterprises in 2017”.

By combining the examples of these three areas, we come up with two potential thesis topics:

The development of queer rights in American culture from 2000 to 2010

Emerging climate change regulations of small German enterprises in 2017

The topic doesn't need to be perfect at first. The idea is to brainstorm with the topics that most interest you in the beginning and slowly come up with with a compelling topic you can brag about at friends’ dinner parties. Here is a list of the top 100 research paper topics for some inspiration.

Tip: Think about how your potential topic can make an intervention into your field of study.

If you will be writing extensively about a specific topic it does not only have to meet the requirements of the academia but it should also expand your professional horizons. According to the article how to pick a masters thesis topic , you should be thinking beyond the completion of your degree.

The author states "use your time as a student to make yourself as attractive to employers as possible." In order to achieve this, make sure that at least one of the three components (phenomenon, point of view and context) is of interest in your desired professional field.

For example, the thesis topics mentioned above would be of great help to people interested in working in the field of human rights and climate change. By choosing a thesis topic related to your professional future, your chances of landing your desired job will be higher, as you could bring fresh and valuable knowledge to your field.

Tip: Ask your supervisor for advice early in the process.

If your topic is still not fully shaped, then take advantage of the greater wisdom of your supervisor and ask for guidance. Arm yourself with enough possible topics and pay your supervisor a visit. Explain what’s your specific point of view and/or context of interest and, luckily, they will steer you in the right direction.

It is certainly not enough to find a topic for your thesis. You also need to make sure that it is a relevant topic and that you will be able to develop it.

• 5 Tips for selecting a thesis topic
• How to come up with a thesis topic
• How to pick a Masters thesis topic

Choosing a topic for your thesis is easy if you focus on the three following areas:

Focus on a specific phenomenon as the center of your thesis. From what perspective do you see the phenomenon? Finally, narrow it down to a particular context . By combining these three areas, you can come up with several possible thesis topics.

Here is a list of the top 100 research paper topics for some inspiration.

The amount of time you need to choose a thesis topic depends on you. If you use the method we explained above, it can take very short time. If you doubt yourself too much, you might end up spending many days choosing a topic.

Here's a YouTube tutorial on How To Choose A Research Topic For A Dissertation Or Thesis (7 Step Method + Examples) by the Grad Coach.

The first person to ask for help if you have trouble finding a thesis topic is your supervisor. Take advantage of their greater wisdom and ask for guidance. Explain them your interests, and, luckily, they will steer you in the right direction.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base
• Dissertation
• Dissertation & Thesis Outline | Example & Free Templates

Dissertation & Thesis Outline | Example & Free Templates

Published on June 7, 2022 by Tegan George . Revised on November 21, 2023.

A thesis or dissertation outline is one of the most critical early steps in your writing process . It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding the specifics of your dissertation topic and showcasing its relevance to your field.

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.)

In the final product, you can also provide a chapter outline for your readers. This is a short paragraph at the end of your introduction to inform readers about the organizational structure of your thesis or dissertation. This chapter outline is also known as a reading guide or summary outline.

Table of contents

How to outline your thesis or dissertation, dissertation and thesis outline templates, chapter outline example, sample sentences for your chapter outline, sample verbs for variation in your chapter outline, other interesting articles, frequently asked questions about thesis and dissertation outlines.

While there are some inter-institutional differences, many outlines proceed in a fairly similar fashion.

• Working Title
• “Elevator pitch” of your work (often written last).
• Introduce your area of study, sharing details about your research question, problem statement , and hypotheses . Situate your research within an existing paradigm or conceptual or theoretical framework .
• Subdivide as you see fit into main topics and sub-topics.
• Describe your research methods (e.g., your scope , population , and data collection ).
• Present your research findings and share about your data analysis methods.
• Answer the research question in a concise way.
• Interpret your findings, discuss potential limitations of your own research and speculate about future implications or related opportunities.

For a more detailed overview of chapters and other elements, be sure to check out our article on the structure of a dissertation or download our template .

To help you get started, we’ve created a full thesis or dissertation template in Word or Google Docs format. It’s easy adapt it to your own requirements.

 Download Word template    Download Google Docs template

It can be easy to fall into a pattern of overusing the same words or sentence constructions, which can make your work monotonous and repetitive for your readers. Consider utilizing some of the alternative constructions presented below.

Example 1: Passive construction

The passive voice is a common choice for outlines and overviews because the context makes it clear who is carrying out the action (e.g., you are conducting the research ). However, overuse of the passive voice can make your text vague and imprecise.

Example 2: IS-AV construction

You can also present your information using the “IS-AV” (inanimate subject with an active verb ) construction.

A chapter is an inanimate object, so it is not capable of taking an action itself (e.g., presenting or discussing). However, the meaning of the sentence is still easily understandable, so the IS-AV construction can be a good way to add variety to your text.

Example 3: The “I” construction

Another option is to use the “I” construction, which is often recommended by style manuals (e.g., APA Style and Chicago style ). However, depending on your field of study, this construction is not always considered professional or academic. Ask your supervisor if you’re not sure.

Example 4: Mix-and-match

To truly make the most of these options, consider mixing and matching the passive voice , IS-AV construction , and “I” construction .This can help the flow of your argument and improve the readability of your text.

As you draft the chapter outline, you may also find yourself frequently repeating the same words, such as “discuss,” “present,” “prove,” or “show.” Consider branching out to add richness and nuance to your writing. Here are some examples of synonyms you can use.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

• Anchoring bias
• Halo effect
• The Baader–Meinhof phenomenon
• The placebo effect
• Nonresponse bias
• Deep learning
• Generative AI
• Machine learning
• Reinforcement learning
• Supervised vs. unsupervised learning

 (AI) Tools

• Grammar Checker
• Paraphrasing Tool
• Text Summarizer
• AI Detector
• Plagiarism Checker
• Citation Generator

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 .

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

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.

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

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

George, T. (2023, November 21). Dissertation & Thesis Outline | Example & Free Templates. Scribbr. Retrieved June 24, 2024, from https://www.scribbr.com/dissertation/dissertation-thesis-outline/

Is this article helpful?

Tegan George

Other students also liked, dissertation table of contents in word | instructions & examples, figure and table lists | word instructions, template & examples, thesis & dissertation acknowledgements | tips & examples, what is your plagiarism score.

📕 Studying HQ

Ultimate guide to thesis proposal research methods, rachel r.n..

• June 30, 2024
• How to Guides

Hey there, future researchers! Let’s dive deep into the world of thesis proposal research methods. This guide will walk you through everything you need to know to create a rock-solid research plan for your thesis.

What You'll Learn

What’s a Thesis Proposal, Anyway?

A thesis proposal is your research project’s foundation. It’s a detailed plan that outlines your intended study, serving several crucial purposes:

• Defines your research question and objectives
• Justifies the importance of your study
• Outlines your methodology
• Demonstrates your preparedness to conduct the research

Let’s break this down with an example:

Imagine you’re interested in how remote learning during the COVID-19 pandemic affected student performance. Your thesis proposal might look like this:

• Research Question: “How did the transition to remote learning during the COVID-19 pandemic impact academic performance and engagement of undergraduate students?”
• Importance: This study is crucial because it will help universities better prepare for future disruptions and improve online learning strategies.
• Quantitative analysis of grades before and during remote learning
• Surveys to assess student engagement
• Qualitative interviews with students and professors
• Preparedness: You’ll demonstrate this by showing your understanding of remote learning literature, data analysis skills, and ability to conduct ethical research with human subjects.

Remember, your proposal is not set in stone. It’s a starting point that may evolve as you delve deeper into your research.

Choosing Your Research Approach

Quantitative research: numbers and stats.

Quantitative research focuses on collecting and analyzing numerical data. It’s all about quantifying relationships between variables.

Expanded Pros:

• Allows for larger sample sizes, increasing generalizability
• Provides precise, numerical data
• Useful for testing specific hypotheses
• Results can be more easily replicated
• Good for establishing cause-and-effect relationships

Expanded Cons:

• May oversimplify complex human behaviors or experiences
• Can miss contextual details
• Requires a solid understanding of statistical analysis
• May require expensive tools or software

Additional Example: Let’s say you’re researching the impact of sleep on academic performance. You might collect data on students’ average hours of sleep per night (independent variable) and their GPA (dependent variable). You could then use statistical analysis to determine if there’s a significant correlation between sleep and academic performance.

Methods often used in quantitative research:

• Surveys with closed-ended questions
• Experiments
• Observational studies with numerical data
• Secondary data analysis of existing datasets

Qualitative Research: Digging Deeper

Qualitative research aims to understand the underlying reasons, opinions, and motivations behind human behavior. It’s about the quality of information rather than quantity.

• Provides rich, detailed data about human experiences
• Flexible and can adapt as new information emerges
• Excellent for exploring new or complex topics
• Can uncover unexpected insights
• Allows for direct interaction with research subjects
• Time-consuming, especially in data collection and analysis
• Results can be more subjective
• Typically involves smaller sample sizes
• Findings may not be generalizable to larger populations
• Requires skilled interviewers or observers

Additional Example: If you’re studying the experiences of first-generation college students, you might conduct in-depth interviews with 20 students. You’d ask open-ended questions about their challenges, support systems, and strategies for success. Through these conversations, you might uncover themes like “cultural adjustment” or “family pressure” that you hadn’t anticipated.

Methods often used in qualitative research:

• In-depth interviews
• Focus groups
• Participant observation
• Case studies
• Content analysis of texts or visual materials

Mixed Methods: The Best of Both Worlds

Mixed methods research combines quantitative and qualitative approaches to provide a more comprehensive understanding of a research problem.

• Provides a more complete picture of the research problem
• Can address more complex research questions
• Allows for triangulation of data (verifying results from multiple sources)
• Compensates for the weaknesses of each individual method
• Can lead to unexpected or novel insights
• Requires expertise in both quantitative and qualitative methods
• Can be time-consuming and resource-intensive
• May be challenging to integrate different types of data
• Can be difficult to resolve discrepancies between different data sources
• Might be harder to explain in a concise thesis proposal

Additional Example: Let’s say you’re studying the effectiveness of a new mental health program on campus. Your mixed methods approach might include:

• Quantitative: Surveys measuring students’ stress levels before and after participating in the program
• Qualitative: In-depth interviews with a subset of participants to understand their experiences with the program
• Integration: You’d then combine these insights, perhaps finding that while stress levels decreased overall (quantitative), some students felt the program didn’t address their specific needs (qualitative).

Types of mixed methods designs:

• Sequential Explanatory: Quantitative study followed by qualitative to explain the results
• Sequential Exploratory: Qualitative study followed by quantitative to test emerging theories
• Concurrent Triangulation: Quantitative and qualitative data collected simultaneously and compared
• Embedded Design: One type of data plays a supportive role to the other

Popular Research Methods to Consider

Surveys involve collecting data from a specific population through a series of questions.

Expanded How-to:

• Define your research objectives clearly
• Identify your target population and sampling method
• Develop your questions, ensuring they directly relate to your objectives
• Choose your survey type (online, paper, phone, etc.)
• Pilot test your survey with a small group
• Distribute your survey and collect responses
• Clean and analyze your data
• Interpret and report your findings

Detailed Example: Let’s say you’re researching student satisfaction with campus facilities. Your survey might include:

• Demographic questions (age, year, major)
• Likert scale questions: “On a scale of 1-5, how satisfied are you with the following facilities?” (Library, Gym, Cafeteria, etc.)
• Multiple choice: “Which campus facility do you use most often?”
• Open-ended: “What improvements would you suggest for campus facilities?”

You might use stratified random sampling to ensure representation from different years and majors. After collecting responses, you could use statistical software to analyze trends and correlations, such as whether satisfaction varies by year or major.

Additional Tips:

• Use clear, concise language
• Avoid leading or biased questions
• Provide a progress bar for online surveys
• Consider offering an incentive for completion
• Plan for non-response bias in your analysis

2. Interviews

Interviews involve one-on-one conversations to gather in-depth information about a topic.

• Determine your interview type (structured, semi-structured, or unstructured)
• Develop an interview guide or question list
• Select and recruit participants
• Prepare your recording method (audio, video, or notes)
• Conduct the interviews
• Transcribe the recordings
• Code and analyze the transcripts for themes

Detailed Example: Imagine you’re studying the career aspirations of English majors. Your semi-structured interview might include questions like:

• “What motivated you to choose English as your major?”
• “Can you describe your ideal career after graduation?”
• “What skills do you think you’re developing in your English courses?”
• “How do you think your English degree will help you in your future career?”
• “What challenges do you anticipate in pursuing your career goals?”

During the interview, you might ask follow-up questions based on the participant’s responses. For analysis, you could use thematic coding to identify common themes across interviews, such as “transferable skills” or “concerns about job market.”

• Practice active listening and avoid interrupting
• Use probing questions to dig deeper into interesting points
• Be aware of your body language and tone
• Consider the interview setting (in-person vs. online)
• Be prepared for unexpected directions in the conversation

3. Experiments

Experiments involve manipulating one variable to observe its effect on another under controlled conditions.

• Formulate your hypothesis
• Identify your variables (independent, dependent, and control)
• Design your experimental and control groups
• Develop your experimental procedure
• Recruit participants and obtain informed consent
• Conduct the experiment and collect data
• Analyze your results using appropriate statistical tests

Detailed Example: Let’s say you’re testing whether a specific study technique improves memory recall. Your experiment might look like this:

Hypothesis: Students who use the SQ3R (Survey, Question, Read, Recite, Review) method will recall more information from a text passage than those who don’t.

• Independent Variable: Study method (SQ3R vs. normal reading)
• Dependent Variable: Score on a memory recall test
• Control Variables: Text passage difficulty, time allowed for study
• Randomly assign 60 participants to two groups
• Give both groups the same text passage
• Instruct one group in the SQ3R method, let the other read normally
• Allow 30 minutes for study
• Administer a memory recall test
• Compare test scores using a t-test
• Consider potential confounding variables and how to control for them
• Use random assignment to reduce bias
• Conduct a power analysis to determine appropriate sample size
• Be prepared to explain how you’ll ensure internal and external validity
• Consider ethical implications, especially if using deception

4. Case Studies

Case studies involve in-depth investigation of a particular case (individual, group, event, or phenomenon) within its real-life context.

• Define your research question and case study approach (single or multiple cases)
• Select your case(s) based on defined criteria
• Determine your data collection methods (often multiple methods are used)
• Develop protocols for each data collection method
• Collect data, maintaining a chain of evidence
• Analyze the data, often using techniques like pattern matching or explanation building
• Synthesize findings and develop conclusions
• Write up your case study, considering alternative explanations

Detailed Example: Imagine you’re studying innovative teaching practices in high schools. You might choose to do a multiple case study of three schools known for their innovative approaches.

For each school, you might:

• Interview the principal about the school’s philosophy and practices
• Observe classes to see innovative techniques in action
• Survey teachers about their experiences implementing new methods
• Analyze student performance data to assess the impact of these practices
• Review school documents like lesson plans or training materials

In your analysis, you’d look for common themes across the schools, unique approaches, and factors that contribute to successful innovation. You might develop a model of effective innovation in high school teaching based on your findings.

• Use multiple sources of evidence to ensure validity
• Consider using a case study database to organize your data
• Be clear about the boundaries of your case
• Address rival explanations in your analysis
• Remember that case studies aim for analytic generalization, not statistical generalization

5. Content Analysis

Content analysis is a research method used to identify patterns, themes, and meanings in various forms of communication content.

• Identify your research question and content to be analyzed
• Define your units of analysis (e.g., words, phrases, images)
• Develop a coding scheme based on your research question
• Train coders if you’re working with a team
• Conduct a pilot coding to test your scheme
• Code your content, ensuring inter-coder reliability if applicable
• Analyze your coded data, looking for patterns and themes
• Interpret your findings in the context of your research question

Detailed Example: Let’s say you’re analyzing the portrayal of mental health in popular TV shows. Your process might look like this:

• Select 5 top-rated TV shows from the past year
• Define units: Each scene involving a character with a mental health condition
• Type of mental health condition portrayed
• Accuracy of portrayal (rated 1-5 based on diagnostic criteria)
• Tone of portrayal (positive, negative, neutral)
• Character role (protagonist, antagonist, supporting)
• Code 10 episodes with another researcher to ensure reliability
• Code all episodes of selected shows
• Analyze data: Calculate frequencies, look for trends over time or differences between shows
• Interpret: Discuss how mental health is portrayed, whether portrayals are becoming more accurate/positive over time, and potential impacts on public perception
• Be systematic and consistent in your coding
• Consider both manifest (obvious) and latent (underlying) content
• Use software like NVivo or ATLAS.ti for large datasets
• Be aware of your own biases in interpretation
• Consider the context of the content you’re analyzing

Choosing the Right Method for You

Selecting the appropriate research method is crucial for the success of your study. Here’s a more detailed guide to help you make this decision:

• “What” questions often suit quantitative methods Example: “What is the relationship between study hours and GPA?”
• “Why” or “How” questions often suit qualitative methods Example: “Why do some students choose to study abroad?”
• Complex questions might require mixed methods Example: “How effective is the new campus mental health program and why?”
• Numerical data: Use quantitative methods Example: Analyzing test scores or survey responses on a numerical scale
• Textual or visual data: Use qualitative methods Example: Analyzing interview transcripts or social media posts
• Both: Consider mixed methods Example: Collecting both test scores and interview data about a new teaching method
• Time: Surveys are often quicker than ethnographic studies
• Budget: Consider costs for tools, travel, or participant compensation
• Skills: Assess your strengths in areas like statistical analysis or interviewing
• Access: Can you easily reach your target population?
• Psychology often uses experiments
• Anthropology might favor ethnographic methods
• Business might use case studies
• Review recent papers in your field to see common methods
• Large, random sample: Often suits quantitative methods
• Small, specific group: Might be better for qualitative methods
• Hard-to-reach population: Might require specialized sampling techniques
• For a broad overview of a topic: Consider surveys or quantitative methods
• For in-depth understanding of a few cases: Consider interviews or case studies
• Exploratory research: Often starts with qualitative methods
• Testing established theories: Often uses quantitative methods
• Building on previous findings: Might use mixed methods
• Sensitive topics might require more anonymous methods like surveys
• Vulnerable populations might need more careful, qualitative approaches

Remember, your choice should ultimately serve your research goals. Don’t be afraid to combine methods or adapt your approach as you learn more about your topic.

Related Articles

Sample Research Proposal on Education Topics

How to Write the Methods Section of a Research Proposal

How to write a research proposal?

What (Exactly) Is A Research Proposal?

Wrapping It Up

Crafting a thesis proposal is a journey of discovery. As you work on your proposal, keep these final thoughts in mind:

• Clarity is key: Explain your methods so clearly that another researcher could replicate your study.
• Justify your choices: For each method, explain why it’s the best approach for your research question.
• Acknowledge limitations: Every method has weaknesses. Recognize them and explain how you’ll mitigate them.
• Consider ethics: Especially if working with human subjects, address how you’ll ensure ethical research practices.
• Be realistic: Plan your timeline and budget carefully. It’s better to do a smaller study well than to overreach.
• Seek feedback: Share your proposal draft with advisors and peers. Fresh eyes can spot issues you might miss.
• Stay flexible: Be open to adjusting your methods as you learn more about your topic.
• Connect to theory: Show how your research methods will help you engage with existing theories in your field.
• Practice explaining: Be ready to discuss your methods clearly and concisely in your proposal defense.
• Enjoy the process: Choose methods that excite you. Your enthusiasm will show in your proposal and your research.

Start by filling this short order form order.studyinghq.com

And then follow the progressive flow. 

Having an issue, chat with us here

Cathy, CS. 

New Concept ? Let a subject expert write your paper for You​

Have a subject expert write for you now, have a subject expert finish your paper for you, edit my paper for me, have an expert write your dissertation's chapter, popular topics.

Business Analysis Examples Essay Topics and Ideas How to Guides Nursing

• Nursing Solutions
• Study Guides
• Free College Essay Examples
• Privacy Policy
• Writing Service 
• Discounts / Offers 

Study Hub: 

• Studying Blog
• Topic Ideas 
• Business Studying 
• Nursing Studying 
• Literature and English Studying

Writing Tools  

• Citation Generator
• Topic Generator
• Paraphrasing Tool
• Conclusion Maker
• Research Title Generator
• Thesis Statement Generator
• Summarizing Tool
• Terms and Conditions
• Confidentiality Policy
• Cookies Policy
• Refund and Revision Policy

Our samples and other types of content are meant for research and reference purposes only. We are strongly against plagiarism and academic dishonesty. 

Contact Us:

📧 [email protected]

📞 +15512677917

2012-2024 © studyinghq.com. All rights reserved

How To Find A High-Quality Research Topic

6 steps to find & evaluate high-quality dissertation/thesis topics.

By: Caroline Osella (PhD, BA)  and Derek Jansen (MBA) | July 2019

So, you’re finally nearing the end of your degree and it’s now time to find a suitable topic for your dissertation or thesis. Or perhaps you’re just starting out on your PhD research proposal and need to find a suitable area of research for your application proposal.

In this post, we’ll provide a straightforward 6-step process that you can follow to ensure you arrive at a high-quality research topic . Follow these steps and you will formulate a well-suited, well-defined core research question .

There’s a helpful clue already: your research ‘topic’ is best understood as a research question or a problem . Your aim is not to create an encyclopedia entry into your field, but rather to shed light on an acknowledged issue that’s being debated (or needs to be). Think research  questions , not research  topics  (we’ll come back to this later).

Overview: How To Find A Research Topic

• Get an understanding of the research process
• Review previous dissertations from your university
• Review the academic literature to start the ideation process
• Identify your potential research questions (topics) and shortlist
• Narrow down, then evaluate your research topic shortlist
• Make the decision (and stick with it!)

Step 1: Understand the research process

It may sound horribly obvious, but it’s an extremely common mistake – students skip past the fundamentals straight to the ideation phase (and then pay dearly for it).

Start by looking at whatever handouts and instructions you’ve been given regarding what your university/department expects of a dissertation. For example, the course handbook, online information and verbal in-class instructions. I know it’s tempting to just dive into the ideation process, but it’s essential to start with the prescribed material first.

There are two important reasons for this:

First , you need to have a basic understanding of the research process , research methodologies , fieldwork options and analysis methods before you start the ideation process, or you will simply not be equipped to think about your own research adequately. If you don’t understand the basics of  quantitative , qualitative and mixed methods BEFORE you start ideating, you’re wasting your time.

Second , your university/department will have specific requirements for your research – for example, requirements in terms of topic originality, word count, data requirements, ethical adherence , methodology, etc. If you are not aware of these from the outset, you will again end up wasting a lot of time on irrelevant ideas/topics.

So, the most important first step is to get your head around both the basics of research (especially methodologies), as well as your institution’s specific requirements . Don’t give in to the temptation to jump ahead before you do this. As a starting point, be sure to check out our free dissertation course.

Step 2: Review past dissertations/theses

Unless you’re undertaking a completely new course, there will be many, many students who have gone through the research process before and have produced successful dissertations, which you can use to orient yourself. This is hugely beneficial – imagine being able to see previous students’ assignments and essays when you were doing your coursework!

Take a look at some well-graded (65% and above) past dissertations from your course (ideally more recent ones, as university requirements may change over time). These are usually available in the university’s online library. Past dissertations will act as a helpful model for all kinds of things, from how long a bibliography needs to be, to what a good literature review looks like, through to what kinds of methods you can use – and how to leverage them to support your argument.

As you peruse past dissertations, ask yourself the following questions:

• What kinds of topics did these dissertations cover and how did they turn the topic into questions?
• How broad or narrow were the topics?
• How original were the topics? Were they truly groundbreaking or just a localised twist on well-established theory?
• How well justified were the topics? Did they seem important or just nice to know?
• How much literature did they draw on as a theoretical base? Was the literature more academic or applied in nature?
• What kinds of research methods did they use and what data did they draw on?
• How did they analyse that data and bring it into the discussion of the academic literature?
• Which of the dissertations are most readable to you – why? How were they presented?
• Can you see why these dissertations were successful? Can you relate what they’ve done back to the university’s instructions/brief?

Seeing a variety of dissertations (at least 5, ideally in your area of interest) will also help you understand whether your university has very rigid expectations in terms of structure and format , or whether they expect and allow variety in the number of chapters, chapter headings, order of content, style of presentation and so on.

Some departments accept graphic novels; some are willing to grade free-flow continental-philosophy style arguments; some want a highly rigid, standardised structure.  Many offer a dissertation template , with information on how marks are split between sections. Check right away whether you have been given one of those templates – and if you do, then use it and don’t try to deviate or reinvent the wheel.

Step 3: Review the academic literature

Now that you (1) understand the research process, (2) understand your university’s specific requirements for your dissertation or thesis, and (3) have a feel for what a good dissertation looks like, you can start the ideation process. This is done by reviewing the current literature and looking for opportunities to add something original to the academic conversation.

Kick start the ideation process

So, where should you start your literature hunt? The best starting point is to get back to your modules. Look at your coursework and the assignments you did. Using your coursework is the best theoretical base, as you are assured that (1) the literature is of a high enough calibre for your university and (2) the topics are relevant to your specific course.

Start by identifying the modules that interested you the most and that you understood well (i.e. earned good marks for). What were your strongest assignments, essays or reports? Which areas within these were particularly interesting to you? For example, within a marketing module, you may have found consumer decision making or organisation trust to be interesting. Create a shortlist of those areas that you were both interested in and academically strong at. It’s no use picking an area that does not genuinely interest you – you’ll run out of motivation if you’re not excited by a topic.

Understand the current state of knowledge

Once you’ve done that, you need to get an understanding of the current state of the literature for your chosen interest areas. What you’re aiming to understand is this: what is the academic conversation here and what critical questions are yet unanswered? These unanswered questions are prime opportunities for a unique, meaningful research topic . A quick review of the literature on your favourite topics will help you understand this.

Grab your reading list from the relevant section of the modules, or simply enter the topics into Google Scholar . Skim-read 3-5 journal articles from the past 5 years which have at least 5 citations each (Google Scholar or a citations index will show you how many citations any given article has – i.e., how many other people have referred to it in their own bibliography). Also, check to see if your discipline has an ‘annual review’ type of journal, which gathers together surveys of the state of knowledge on a chosen topic. This can be a great tool for fast-tracking your understanding of the current state of the knowledge in any given area.

Start from your course’s reading list and work outwards. At the end of every journal article, you’ll find a reference list. Scan this reference list for more relevant articles and read those. Then repeat the process (known as snowballing) until you’ve built up a base of 20-30 quality articles per area of interest.

Absorb, don’t hunt

At this stage, your objective is to read and understand the current state of the theory for your area(s) of interest – you don’t need to be in topic-hunting mode yet. Don’t jump the gun and try to identify research topics before you are well familiarised with the literature.

As you read, try to understand what kinds of questions people are asking and how they are trying to answer them. What matters do the researchers agree on, and more importantly, what are they in disagreement about? Disagreements are prime research territory. Can you identify different ‘schools of thought’ or different ‘approaches’? Do you know what your own approach or slant is? What kinds of articles appeal to you and which ones bore you or leave you feeling like you’ve not really grasped them? Which ones interest you and point towards directions you’d like to research and know more about?

Once you understand the fundamental fact that academic knowledge is a conversation, things get easier.

Think of it like a party. There are groups of people in the room, enjoying conversations about various things. Which group do you want to join?  You don’t want to be that person in the corner, talking to themself. And you don’t want to be the hanger-on, laughing at the big-shot’s jokes and repeating everything they say.

Do you want to join a large group and try to make a small contribution to what’s going on, or are you drawn to a smaller group that’s having a more niche conversation, but where you feel you might more easily find something original to contribute? How many conversations can you identify? Which ones feel closer to you and more attractive? Which ones repel you or leave you cold? Are there some that, frankly, you just don’t understand?

Now, choose a couple of groups who are discussing something you feel interested in and where you feel like you might want to contribute. You want to make your entry into this group by asking a question – a question that will make the other people in the group turn around and look at you, listen to you, and think, “That’s interesting”.

Your dissertation will be the process of setting that question and then trying to find at least a partial answer to that question – but don’t worry about that now.  Right now, you need to work out what conversations are going on, whether any of them are related or overlapping, and which ones you might be able to walk into. I’ll explain how you find that question in the next step.

Need a helping hand?

Step 4: Identify potential research questions

Now that you have a decent understanding of the state of the literature in your area(s) of interest, it’s time to start developing your list of possible research topics. There are (at least) three approaches you can follow here, and they are not mutually exclusive:

Approach 1: Leverage the FRIN

Towards the end of most quality journal articles, you will find a section labelled “ further research ” or something similar. Generally, researchers will clearly outline where they feel further research is needed (FRIN), following on from their own research. So, essentially, every journal article presents you with a list of potential research opportunities.

Of course, only a handful of these will be both practical and of interest to you, so it’s not a quick-fix solution to finding a research topic. However, the benefit of going this route is that you will be able to find a genuinely original and meaningful research topic (which is particularly important for PhD-level research).

The upside to this approach is originality, but the downside is that you might not find something that really interests you , or that you have the means to execute. If you do go this route, make sure that you pay attention to the journal article dates, as the FRIN may already have been “solved” by other researchers if the article is old.

Approach 2: Put a context-based spin on an existing topic

The second option is to consider whether a theory which is already well established is relevant within a local or industry-specific context. For example, a theory about the antecedents (drivers) of trust is very well established, but there may be unique or uniquely important drivers within a specific national context or industry (for example, within the financial services industry in an emerging market).

If that industry or national context has not yet been covered by researchers and there is a good reason to believe there may be meaningful differences within that context, then you have an opportunity to take a unique angle on well-established theory, which can make for a great piece of research. It is however imperative that you have a good reason to believe that the existing theory may not be wholly relevant within your chosen context, or your research will not be justified.

The upside to this approach is that you can potentially find a topic that is “closer to home” and more relevant and interesting to you , while still being able to draw on a well-established body of theory. However, the downside is that this approach will likely not produce the level of originality as approach #1.

Approach 3: Uncensored brainstorming

The third option is to skip the FRIN, as well as the local/industry-specific angle and simply engage in a freeform brainstorming or mind-mapping session, using your newfound knowledge of the theory to formulate potential research ideas. What’s important here is that you do not censor yourself . However crazy, unfeasible, or plain stupid your topic appears – write it down. All that matters right now is that you are interested in this thing.

Next, try to turn the topic(s) into a question or problem. For example:

• What is the relationship between X, Y & Z?
• What are the drivers/antecedents of X?
• What are the outcomes of Y?
• What are the key success factors for Z?

Re-word your list of topics or issues into a list of questions .  You might find at this stage that one research topic throws up three questions (which then become sub-topics and even new separate topics in their own right) and in so doing, the list grows. Let it. Don’t hold back or try to start evaluating your ideas yet – just let them flow onto paper.

Once you’ve got a few topics and questions on paper, check the literature again to see whether any of these have been covered by the existing research. Since you came up with these from scratch, there is a possibility that your original literature search did not cover them, so it’s important to revisit that phase to ensure that you’re familiar with the relevant literature for each idea. You may also then find that approach #1 and #2 can be used to build on these ideas.

Try use all three approaches

As mentioned earlier, the three approaches discussed here are not mutually exclusive. In fact, the more, the merrier. Hopefully, you manage to utilise all three, as this will give you the best odds of producing a rich list of ideas, which you can then narrow down and evaluate, which is the next step.

Step 5: Narrow down, then evaluate

By this stage, you should have a healthy list of research topics. Step away from the ideation and thinking for a few days, clear your mind. The key is to get some distance from your ideas, so that you can sit down with your list and review it with a more objective view. The unbridled ideation phase is over and now it’s time to take a reality check .

Look at your list and see if any options can be crossed off right away .  Maybe you don’t want to do that topic anymore. Maybe the topic turned out to be too broad and threw up 20 hard to answer questions. Maybe all the literature you found about it was 30 years old and you suspect it might not be a very engaging contemporary issue . Maybe this topic is so over-researched that you’ll struggle to find anything fresh to say. Also, after stepping back, it’s quite common to notice that 2 or 3 of your topics are really the same one, the same question, which you’ve written down in slightly different ways. You can try to amalgamate these into one succinct topic.

Narrow down to the top 5, then evaluate

Now, take your streamlined list and narrow it down to the ‘top 5’ that interest you the most. Personal interest is your key evaluation criterion at this stage. Got your ‘top 5’?  Great!  Now, with a cool head and your best analytical mind engaged, go systematically through each option and evaluate them against the following criteria:

Research questions – what is the main research question, and what are the supporting sub-questions? It’s critically important that you can define these questions clearly and concisely. If you cannot do this, it means you haven’t thought the topic through sufficiently.

Originality – is the topic sufficiently original, as per your university’s originality requirements? Are you able to add something unique to the existing conversation? As mentioned earlier, originality can come in many forms, and it doesn’t mean that you need to find a completely new, cutting-edge topic. However, your university’s requirements should guide your decision-making here.

Importance – is the topic of real significance, or is it just a “nice to know”? If it’s significant, why? Who will benefit from finding the answer to your desired questions and how will they benefit? Justifying your research will be a key requirement for your research proposal , so it’s really important to develop a convincing argument here.

Literature – is there a contemporary (current) body of academic literature around this issue? Is there enough literature for you to base your investigation on, but not too much that the topic is “overdone”? Will you be able to navigate this literature or is it overwhelming?

Data requirements – What kind of data would you need access to in order to answer your key questions?  Would you need to adopt a qualitative, quantitative or mixed-methods approach to answer your questions? At this stage, you don’t need to be able to map out your exact research design, but you should be able to articulate how you would approach it in high-level terms. Will you use qual, quant or mixed methods? Why?

Feasibility – How feasible would it be to gather the data that would be needed in the time-frame that you have – and do you have the will power and the skills to do it? If you’re not confident with the theory, you don’t want something that’s going to draw you into a debate about the relative importance of epistemology and ontology. If you are shy, you won’t want to be doing ethnographic interviews. If you feel this question calls for a 100-person survey, do you have the time to plan, organise and conduct it and then analyse it? What will you do if you don’t get the response rate you expect? Be very realistic here and also ask advice from your supervisor and other experts – poor response rates are extremely common and can derail even the best research projects.

Personal attraction – On a scale of 1-10, how excited are you about this topic? Will addressing it add value to your life and/or career? Will undertaking the project help you build a skill you’ve previously wanted to work on (for example, interview skills, statistical analysis skills, software skills, etc.)?

The last point is particularly important. You will have to engage with your dissertation in a very sustained and deep way, face challenges and difficulties, and get it to completion. If you don’t start out enthusiastic about it, you’re setting yourself up for problems like ‘writer’s block’ or ‘burnout’ down the line. This is the reason personal interest was the sole evaluation criterion when we chose the top 5. So, don’t underestimate the importance of personal attraction to a topic – at the same time, don’t let personal attraction lead you to choose a topic that is not relevant to your course or feasible given your resources. 

Narrow down to 3, then get human feedback

We’re almost at the finishing line. The next step is to narrow down to 2 or 3 shortlisted topics. No more!  Write a short paragraph about each topic, addressing the following:

Firstly,  WHAT will this study be about? Frame the topic as a question or a problem. Write it as a dissertation title. No more than two clauses and no more than 15 words. Less than 15 is better (go back to good journal articles for inspiration on appropriate title styles).

Secondly, WHY this is interesting (original) and important – as proven by existing academic literature? Are people talking about this and is there an acknowledged problem, debate or gap in the literature?

Lastly,  HOW do you plan to answer the question? What sub-questions will you use? What methods does this call for and how competent and confident are you in those methods? Do you have the time to gather the data this calls for?

Show the shortlist and accompanying paragraphs to a couple of your peers from your course and also to an expert or two if at all possible (you’re welcome to reach out to us ), explaining what you will investigate, why this is original and important and how you will go about investigating it. 

Once you’ve pitched your ideas, ask for the following thoughts :

• Which is most interesting and appealing to them?
• Why do they feel this way?
• What problems do they foresee with the execution of the research?

Take advice and feedback and sit on it for another day. Let it simmer in your mind overnight before you make the final decision.  

Step 6: Make the decision (and stick with it!)

Then, make the commitment. Choose the one that you feel most confident about, having now considered both your opinion and the feedback from others.

Once you’ve made a decision, don’t doubt your judgement, don’t shift.  Don’t be tempted by the ones you left behind. You’ve planned and thought things through, checked feasibility and now you can start.  You have your research topic. Trust your own decision-making process and stick with it now. It’s time to get started on your research proposal!

Let’s recap…

In this post, I’ve proposed a straightforward 6-step plan to finding relevant research topic ideas and then narrowing them down to finally choose one winner. To recap:

• Understand the basics of academic research, as well as your university’s specific requirements for a dissertation, thesis or research project.
• Review previous dissertations for your course to get an idea of both topics and structure.
• Start the ideation process by familiarising yourself with the literature.
• Identify your potential research questions (topics).
• Narrow down your options, then evaluate systematically.
• Make your decision (and don’t look back!)

If you follow these steps, you’ll find that they also set you up for what’s coming next – both the proposal and the first three chapters of your dissertation. But that’s for future posts!

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

You Might Also Like:

23 Comments

I would love to get a topic under teachers performance. I am a student of MSC Monitoring and Evaluations and I need a topic in the line of monitoring and evaluations

I just we put for some full notes that are payable

Thank you very much Dr Caroline

I need a project topics on transfer of learning

m a PhD Student I would like to be assisted inn formulating a title around: Internet of Things for online education in higher education – STEM (Science, technology, engineering and Mathematics, digital divide ) Thank you, would appreciate your guidance

Well structured guide on the topic… Good materials for beginners in research writing…

Hello Iam kindly seeking for help in formulating a researchable topic for masters degree program in line with teaching GRAPHIC ART

I read a thesis about a problem in a particular. Can I use the same topic just referring to my own country? Is that being original? The interview questions will mostly be the same as the other thesis.

Hi, thanks I managed to listen to the video so helpful indeed. I am currently an MBA student looking for a specific topic and I have different ideas that not sure they can be turned to be a study.

I am doing a Master of Theology in Pastoral Care and Counselling and I felt like doing research on Spiritual problem cause by substance abuse among Youth. Can I get help to formulate the Thesis Title in line with it…please

Hello, I am kindly seeking help in formulating a researchable topic for a National diploma program

As a beginner in research, I am very grateful for this well-structured material on research writing.

Hello, I watched the video and its very helpful. I’m a student in Nursing (degree). May you please help me with any research problems (in Namibian society or Nursing) that need to be evaluate or solved?

I have been greatly impacted. Thank you.

more than useful… there will be no justification if someone fails to get a topic for his thesis

I watched the video and its really helpful.

How can i started discovery

Analysing the significance of Integrated reporting in Zimbabwe. A case of institutional investors. this is my topic for PHD Accounting sciences need help with research questions

Excellent session that cleared lots of doubts.

Excellent session that cleared lots of doubts

It was a nice one thank you

Wow, This helped a lot not only with how to find a research topic but inspired me to kick it off from now, I am a final year student of environmental science. And have to complete my project in the coming six months.

I was really stressed and thinking about different topics that I don’t know nothing about and having more than a hundred topics in the baggage, couldn’t make the tradeoff among them, however, reading this scrubbed the fuzzy layer off my head and now it seems like really easy.

Thanks GRADCOACH, you saved me from getting into the rabbit hole.

Trackbacks/Pingbacks

• Dissertation vs Thesis: What's the difference? - Grad Coach - […] we receive questions about dissertation and thesis writing on a daily basis – everything from how to find a…

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly