how to write results for dissertation

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How to Write the Results Section of your Dissertation or Thesis?

Introduction

Organizing your results, providing context, presenting the data in results section, describing statistical analysis, reporting the findings in results section, supporting the findings, visual representation in results section.

As you progress on your journey towards completing your PhD or Post Graduate dissertation, one of the most critical sections that holds immense significance is the results section.

Results section serves as the pinnacle of your research, where you unveil the outcomes of your exhaustive efforts and shed light on the answers to your research questions. In this blog post, we will delve into the intricacies of the results section and explore how to effectively present and interpret your findings to leave a lasting impact.

Whether you’re conducting research in the field of biology, psychology, computer science, or any other discipline, the results section is where your data takes center stage. It is a space where you showcase your meticulous analysis, statistical methods, and the discoveries you’ve made along the way. By understanding the key components and best practices for constructing a compelling results section, you can present your findings in a manner that resonates with both your academic peers and the wider research community.

In this comprehensive guide, we will walk you through the fundamental elements of the results section, from organizing your data to choosing the appropriate visual representations. We will explore the importance of clear and concise reporting, emphasizing the significance of providing contextual information and highlighting any unexpected or groundbreaking discoveries.

Furthermore, we will discuss strategies for effectively interpreting your results, discussing their implications, and connecting them back to your research objectives. By mastering these skills, you will be able to demonstrate the significance of your work, contribute to the existing body of knowledge, and potentially pave the way for further research in your field.

Throughout the blog post, I will provide concrete examples from various disciplines to illustrate the implementation of these techniques. Additionally, I will offer valuable tips on avoiding common pitfalls, ensuring the accuracy and reliability of your results, and seeking feedback from your advisors or peers to enhance the quality of your analysis.

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Organizing the results of your study in a logical and coherent manner is crucial for effectively communicating your findings. By presenting your results in an organized structure, you enhance the clarity and readability of your dissertation. Here are some key considerations for organizing your results:

Research studies often involve complex algorithms, software implementations, experimental data, and performance metrics. It is essential to organize these diverse elements in a cohesive manner to make it easier for readers to follow your research. A well-structured results section enables readers to understand the progression of your experiments and the relationship between different findings.
Begin by reminding readers of the research questions or hypotheses that guided your study. This alignment helps establish a clear connection between the objectives of your research and the subsequent presentation of results. For example, if your research question focuses on evaluating the efficiency of a new sorting algorithm, you would present the experimental data, performance metrics, and comparative analyses specific to that algorithm in relation to the research question.
Subsubsection 1.1: Experimental Setup
Subsubsection 1.2: Experimental Results and Analysis
Subsubsection 2.1: Performance Metrics
Subsubsection 2.2: Comparative Results and Discussion

Remember to tailor the organization of your results section to the specific requirements of your research. The key is to provide a logical flow and structure that enables readers to easily comprehend and interpret your findings.

Providing context for the results of your study is essential to help readers understand the significance and implications of your findings. By offering background information and study design details, you establish a foundation upon which the results can be properly interpreted. Here are some key considerations for providing context:

Before delving into the results, it is important to provide readers with relevant background information about the topic or problem being addressed. This may include a literature review of existing research, theories, or methodologies in the field. By doing so, you situate your work within the broader landscape of and demonstrate its relevance. Additionally, explain the design of your study, such as the specific algorithms, software frameworks, datasets, or hardware setups used. This ensures that readers understand the context in which your results were obtained.
Provide a brief overview of the current state-of-the-art in image recognition algorithms and their limitations.
Explain the specific challenges or gaps in the existing methods that motivated your research.
Describe the design of your study, including the choice of machine learning techniques, datasets used for training and evaluation, preprocessing steps, and any hardware or software configurations.

By providing context, you allow readers to understand the background, motivation, and methodology behind your research. This sets the stage for better comprehension and interpretation of your results. Contextualizing your findings, as it helps establish the relevance, novelty, and potential impact of your research within the larger field.

Presenting data in a clear and organized manner is crucial for effectively communicating your results. The way you present your data can greatly impact the reader’s understanding and interpretation of your findings. Here are some key considerations for presenting data:

Presenting performance metrics of different algorithms using a table to allow for easy comparison.
Using a line graph to depict the improvement in accuracy over training iterations in a machine learning model.
Employing a bar chart to compare the execution times of different algorithms on a specific dataset.
Clear labelling and formatting of your data ensure that readers can easily understand and interpret the information presented. Label each table, figure, chart, or graph with a concise and descriptive title. Ensure that axes, legends, and labels are clearly labelled and units of measurement are specified. Use appropriate fonts, colours, and styles to enhance readability. Consider providing captions or footnotes to provide additional context or explanations where necessary.
In the text, refer to a specific table presenting the accuracy results of different algorithms and explain how these results support your research hypothesis or contribute to the field.
Discuss a figure showing the relationship between the number of training examples and the performance of a machine learning model, emphasizing its implications for scalability and generalization.

By presenting data in a visually appealing and well-organized manner, you enhance the clarity and accessibility of your results. Proper labelling, formatting, and referring to each table or figure in the text help readers navigate the information and grasp its significance. Remember to choose the most appropriate format for your data and use visuals to support and reinforce your findings.

The inclusion of statistical analyses in the results section is crucial for providing objective and quantitative evidence to support your findings. Statistical analyses help you draw meaningful conclusions from your data and determine the significance of observed results. Here are some key considerations for describing statistical analyses:

Statistical analyses play a vital role in determining the reliability and significance of your findings. They provide a systematic and objective framework for interpreting the data and testing hypotheses. Discuss the importance of including statistical analyses in the results section to demonstrate the rigour and validity of your research.
Describe using a t-test to compare the means of two groups in a user study, as it is appropriate for assessing the statistical significance of differences.
Explain employing logistic regression to model the relationship between independent variables and a binary outcome in a predictive analytics study.
Report the p-value as 0.032, indicating a statistically significant difference between the two groups at the 0.05 significance level.
Interpret an effect size of 0.40 as a medium-sized effect, highlighting its practical importance in the context of the research.

By describing the statistical analyses conducted, explaining the rationale behind the chosen tests, and accurately presenting the statistical values and interpretations, you strengthen the validity and reliability of your findings. Statistical analyses provide an objective framework for drawing conclusions from your data and lend credibility to your research in the computer science domain.

Reporting the findings of your research in an objective, concise, and clear manner is essential for effectively communicating your results. Here are some key considerations for reporting the findings:

Summarize the key findings of a machine learning study by stating that “the proposed algorithm achieved an average accuracy of 85% on the test dataset, outperforming existing state-of-the-art methods by 10%.”
For a research question about the impact of different programming languages on software performance, present specific metrics such as execution time or memory usage for each language, along with a comparison and interpretation of the results.
Instead of using overly technical language, communicate the results in a more accessible way: “The experimental results showed a significant correlation between the number of training samples and the accuracy of the model, indicating that a larger training dataset leads to improved prediction performance.”

By guiding readers on summarizing the results objectively and concisely, addressing each research question or hypothesis, and using clear and concise language, you ensure that your findings are communicated effectively. This approach allows readers to understand the core contributions of your research and how they align with the research questions or hypotheses you set out to investigate.

Providing strong evidence from the data to support your findings, addressing unexpected or contradictory results, and discussing limitations and potential explanations are essential components of reporting research findings. Here are some key considerations for supporting the findings:

Present empirical evidence from a user study, such as participant feedback or performance metrics, to support the usability and effectiveness of a proposed user interface design.
If a software system performed unexpectedly poorly in certain scenarios, discuss potential factors such as data bias, implementation issues, or limitations of the evaluation methodology that could have influenced the results.
Acknowledge limitations such as a small sample size, limited dataset availability, or computational constraints that might affect the generalizability or robustness of the results.
Discuss potential explanations for unexpected results, such as issues with data quality, algorithmic complexity, or model assumptions.

By providing evidence from the data to support the findings, addressing unexpected or contradictory results, and discussing limitations and potential explanations, you demonstrate a rigorous and reflective approach to your research in the computer science domain. This allows readers to assess the strength and reliability of your findings and gain a deeper understanding of the nuances and implications of your work.

Using visual representations, such as tables, graphs, and figures, alongside the text can greatly enhance the understanding and impact of your findings. Here are some key considerations for visual representation:

Visual representations offer several benefits in presenting research findings. They provide a concise and intuitive way to convey complex information, trends, and patterns. Visuals can help readers grasp key insights at a glance, enhance the overall readability of the document, and make the findings more memorable. Visual representations also facilitate effective comparisons, highlight important relationships, and aid in storytelling. Example:

When creating visual representations, consider the following tips to ensure clarity and effectiveness: a. Choose the appropriate visual format: Select the most suitable format, such as tables, line graphs, scatter plots, or heatmaps, based on the nature of the data and the message you want to convey.

b. Simplify and declutter: Avoid overwhelming the visuals with excessive data points, labels, or unnecessary decorations. Keep the design clean and focused on conveying the essential information.

c. Label and title clearly: Provide descriptive and informative titles for tables, graphs, and figures. Label the axes, data points, or components clearly to facilitate understanding.

d. Use colors and visual cues purposefully: Utilize colors and visual cues to highlight important information or differentiate between categories. Ensure that the chosen colors are distinguishable and accessible. e. Provide legends and captions: Include legends to explain symbols, colors, or abbreviations used in the visuals. Provide informative captions or annotations to guide readers in interpreting the visuals accurately. Example:

By incorporating clear and effective visual representations alongside the text, you enhance the presentation and understanding of your research findings in the computer science domain. Well-designed tables, graphs, and figures can simplify complex information, facilitate comparisons, and enhance the visual appeal of your dissertation. Remember to choose appropriate formats, keep the visuals uncluttered, label clearly, and use colors and visual cues purposefully to maximize their impact.

Writing the results section of a dissertation or thesis is a critical task that requires careful attention to detail, organization, and effective communication. Throughout this blog post, we have explored key elements to consider when crafting this section.

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Writing your Dissertation: Results and Discussion

When writing a dissertation or thesis, the results and discussion sections can be both the most interesting as well as the most challenging sections to write.

You may choose to write these sections separately, or combine them into a single chapter, depending on your university’s guidelines and your own preferences.

There are advantages to both approaches.

Writing the results and discussion as separate sections allows you to focus first on what results you obtained and set out clearly what happened in your experiments and/or investigations without worrying about their implications.This can focus your mind on what the results actually show and help you to sort them in your head.

However, many people find it easier to combine the results with their implications as the two are closely connected.

Check your university’s requirements carefully before combining the results and discussions sections as some specify that they must be kept separate.

Results Section

The Results section should set out your key experimental results, including any statistical analysis and whether or not the results of these are significant.

You should cover any literature supporting your interpretation of significance. It does not have to include everything you did, particularly for a doctorate dissertation. However, for an undergraduate or master's thesis, you will probably find that you need to include most of your work.

You should write your results section in the past tense: you are describing what you have done in the past.

Every result included MUST have a method set out in the methods section. Check back to make sure that you have included all the relevant methods.

Conversely, every method should also have some results given so, if you choose to exclude certain experiments from the results, make sure that you remove mention of the method as well.

If you are unsure whether to include certain results, go back to your research questions and decide whether the results are relevant to them. It doesn’t matter whether they are supportive or not, it’s about relevance. If they are relevant, you should include them.

Having decided what to include, next decide what order to use. You could choose chronological, which should follow the methods, or in order from most to least important in the answering of your research questions, or by research question and/or hypothesis.

You also need to consider how best to present your results: tables, figures, graphs, or text. Try to use a variety of different methods of presentation, and consider your reader: 20 pages of dense tables are hard to understand, as are five pages of graphs, but a single table and well-chosen graph that illustrate your overall findings will make things much clearer.

Make sure that each table and figure has a number and a title. Number tables and figures in separate lists, but consecutively by the order in which you mention them in the text. If you have more than about two or three, it’s often helpful to provide lists of tables and figures alongside the table of contents at the start of your dissertation.

Summarise your results in the text, drawing on the figures and tables to illustrate your points.

The text and figures should be complementary, not repeat the same information. You should refer to every table or figure in the text. Any that you don’t feel the need to refer to can safely be moved to an appendix, or even removed.

Make sure that you including information about the size and direction of any changes, including percentage change if appropriate. Statistical tests should include details of p values or confidence intervals and limits.

While you don’t need to include all your primary evidence in this section, you should as a matter of good practice make it available in an appendix, to which you should refer at the relevant point.

For example:

Details of all the interview participants can be found in Appendix A, with transcripts of each interview in Appendix B.

You will, almost inevitably, find that you need to include some slight discussion of your results during this section. This discussion should evaluate the quality of the results and their reliability, but not stray too far into discussion of how far your results support your hypothesis and/or answer your research questions, as that is for the discussion section.

See our pages: Analysing Qualitative Data and Simple Statistical Analysis for more information on analysing your results.

Discussion Section

This section has four purposes, it should:

Interpret and explain your results
Answer your research question
Justify your approach
Critically evaluate your study

The discussion section therefore needs to review your findings in the context of the literature and the existing knowledge about the subject.

You also need to demonstrate that you understand the limitations of your research and the implications of your findings for policy and practice. This section should be written in the present tense.

The Discussion section needs to follow from your results and relate back to your literature review . Make sure that everything you discuss is covered in the results section.

Some universities require a separate section on recommendations for policy and practice and/or for future research, while others allow you to include this in your discussion, so check the guidelines carefully.

Starting the Task

Most people are likely to write this section best by preparing an outline, setting out the broad thrust of the argument, and how your results support it.

You may find techniques like mind mapping are helpful in making a first outline; check out our page: Creative Thinking for some ideas about how to think through your ideas. You should start by referring back to your research questions, discuss your results, then set them into the context of the literature, and then into broader theory.

This is likely to be one of the longest sections of your dissertation, and it’s a good idea to break it down into chunks with sub-headings to help your reader to navigate through the detail.

Fleshing Out the Detail

Once you have your outline in front of you, you can start to map out how your results fit into the outline.

This will help you to see whether your results are over-focused in one area, which is why writing up your research as you go along can be a helpful process. For each theme or area, you should discuss how the results help to answer your research question, and whether the results are consistent with your expectations and the literature.

The Importance of Understanding Differences

If your results are controversial and/or unexpected, you should set them fully in context and explain why you think that you obtained them.

Your explanations may include issues such as a non-representative sample for convenience purposes, a response rate skewed towards those with a particular experience, or your own involvement as a participant for sociological research.

You do not need to be apologetic about these, because you made a choice about them, which you should have justified in the methodology section. However, you do need to evaluate your own results against others’ findings, especially if they are different. A full understanding of the limitations of your research is part of a good discussion section.

At this stage, you may want to revisit your literature review, unless you submitted it as a separate submission earlier, and revise it to draw out those studies which have proven more relevant.

Conclude by summarising the implications of your findings in brief, and explain why they are important for researchers and in practice, and provide some suggestions for further work.

You may also wish to make some recommendations for practice. As before, this may be a separate section, or included in your discussion.

The results and discussion, including conclusion and recommendations, are probably the most substantial sections of your dissertation. Once completed, you can begin to relax slightly: you are on to the last stages of writing!

Continue to: Dissertation: Conclusion and Extras Writing your Methodology

See also: Writing a Literature Review Writing a Research Proposal Academic Referencing What Is the Importance of Using a Plagiarism Checker to Check Your Thesis?

Writing the Dissertation - Guides for Success: Results and Discussion

Writing the Dissertation Homepage
Overview and Planning
Research Question
Literature Review
Methodology
Results and Discussion
The Difference
What to Avoid

Overview of writing the results and discussion

The results and discussion follow on from the methods or methodology chapter of the dissertation. This creates a natural transition from how you designed your study, to what your study reveals, highlighting your own contribution to the research area.

Disciplinary differences

Please note: this guide is not specific to any one discipline. The results and discussion can vary depending on the nature of the research and the expectations of the school or department, so please adapt the following advice to meet the demands of your project and department. Consult your supervisor for further guidance; you can also peruse our Writing Across Subjects guide .

Guide contents

As part of the Writing the Dissertation series, this guide covers the most common conventions of the results and discussion chapters, giving you the necessary knowledge, tips and guidance needed to impress your markers! The sections are organised as follows:

The Difference - Breaks down the distinctions between the results and discussion chapters.
Results - Provides a walk-through of common characteristics of the results chapter.
Discussion - Provides a walk-through of how to approach writing your discussion chapter, including structure.
What to Avoid - Covers a few frequent mistakes you'll want to...avoid!
FAQs - Guidance on first- vs. third-person, limitations and more.
Checklist - Includes a summary of key points and a self-evaluation checklist.

Training and tools

The Academic Skills team has recorded a Writing the Dissertation workshop series to help you with each section of a standard dissertation, including a video on writing the results and discussion (embedded below).
The dissertation planner tool can help you think through the timeline for planning, research, drafting and editing.
iSolutions offers training and a Word template to help you digitally format and structure your dissertation.

Introduction

The results of your study are often followed by a separate chapter of discussion. This is certainly the case with scientific writing. Some dissertations, however, might incorporate both the results and discussion in one chapter. This depends on the nature of your dissertation and the conventions within your school or department. Always follow the guidelines given to you and ask your supervisor for further guidance.

As part of the Writing the Dissertation series, this guide covers the essentials of writing your results and discussion, giving you the necesary knowledge, tips and guidance needed to leave a positive impression on your markers! This guide covers the results and discussion as separate – although interrelated – chapters, as you'll see in the next two tabs. However, you can easily adapt the guidance to suit one single chapter – keep an eye out for some hints on how to do this throughout the guide.

Results or discussion - what's the difference?

To understand what the results and discussion sections are about, we need to clearly define the difference between the two.

The results should provide a clear account of the findings . This is written in a dry and direct manner, simply highlighting the findings as they appear once processed. It’s expected to have tables and graphics, where relevant, to contextualise and illustrate the data.

Rather than simply stating the findings of the study, the discussion interprets the findings to offer a more nuanced understanding of the research. The discussion is similar to the second half of the conclusion because it’s where you consider and formulate a response to the question, ‘what do we now know that we didn’t before?’ (see our Writing the Conclusion guide for more). The discussion achieves this by answering the research questions and responding to any hypotheses proposed. With this in mind, the discussion should be the most insightful chapter or section of your dissertation because it provides the most original insight.

Across the next two tabs of this guide, we will look at the results and discussion chapters separately in more detail.

Writing the results

The results chapter should provide a direct and factual account of the data collected without any interpretation or interrogation of the findings. As this might suggest, the results chapter can be slightly monotonous, particularly for quantitative data. Nevertheless, it’s crucial that you present your results in a clear and direct manner as it provides the necessary detail for your subsequent discussion.

Note: If you’re writing your results and discussion as one chapter, then you can either:

1) write them as distinctly separate sections in the same chapter, with the discussion following on from the results, or...

2) integrate the two throughout by presenting a subset of the results and then discussing that subset in further detail.

Next, we'll explore some of the most important factors to consider when writing your results chapter.

How you structure your results chapter depends on the design and purpose of your study. Here are some possible options for structuring your results chapter (adapted from Glatthorn and Joyner, 2005):

Chronological – depending on the nature of the study, it might be important to present your results in order of how you collected the data, such as a pretest-posttest design.
Research method – if you’ve used a mixed-methods approach, you could isolate each research method and instrument employed in the study.
Research question and/or hypotheses – you could structure your results around your research questions and/or hypotheses, providing you have more than one. However, keep in mind that the results on their own don’t necessarily answer the questions or respond to the hypotheses in a definitive manner. You need to interpret the findings in the discussion chapter to gain a more rounded understanding.
Variable – you could isolate each variable in your study (where relevant) and specify how and whether the results changed.

Tables and figures

For your results, you are expected to convert your data into tables and figures, particularly when dealing with quantitative data. Making use of tables and figures is a way of contextualising your results within the study. It also helps to visually reinforce your written account of the data. However, make sure you’re only using tables and figures to supplement , rather than replace, your written account of the results (see the 'What to avoid' tab for more on this).

Figures and tables need to be numbered in order of when they appear in the dissertation, and they should be capitalised. You also need to make direct reference to them in the text, which you can do (with some variation) in one of the following ways:

Figure 1 shows…

The results of the test (see Figure 1) demonstrate…

The actual figures and tables themselves also need to be accompanied by a caption that briefly outlines what is displayed. For example:

Table 1. Variables of the regression model

Table captions normally appear above the table, whilst figures or other such graphical forms appear below, although it’s worth confirming this with your supervisor as the formatting can change depending on the school or discipline. The style guide used for writing in your subject area (e.g., Harvard, MLA, APA, OSCOLA) often dictates correct formatting of tables, graphs and figures, so have a look at your style guide for additional support.

Using quotations

If your qualitative data comes from interviews and focus groups, your data will largely consist of quotations from participants. When presenting this data, you should identify and group the most common and interesting responses and then quote two or three relevant examples to illustrate this point. Here’s a brief example from a qualitative study on the habits of online food shoppers:

Regardless of whether or not participants regularly engage in online food shopping, all but two respondents commented, in some form, on the convenience of online food shopping:

"It’s about convenience for me. I’m at work all week and the weekend doesn’t allow much time for food shopping, so knowing it can be ordered and then delivered in 24 hours is great for me” (Participant A).

"It fits around my schedule, which is important for me and my family” (Participant D).

"In the past, I’ve always gone food shopping after work, which has always been a hassle. Online food shopping, however, frees up some of my time” (Participant E).

As shown in this example, each quotation is attributed to a particular participant, although their anonymity is protected. The details used to identify participants can depend on the relevance of certain factors to the research. For instance, age or gender could be included.

Writing the discussion

The discussion chapter is where “you critically examine your own results in the light of the previous state of the subject as outlined in the background, and make judgments as to what has been learnt in your work” (Evans et al., 2014: 12). Whilst the results chapter is strictly factual, reporting on the data on a surface level, the discussion is rooted in analysis and interpretation , allowing you and your reader to delve beneath the surface.

Next, we will review some of the most important factors to consider when writing your discussion chapter.

Like the results, there is no single way to structure your discussion chapter. As always, it depends on the nature of your dissertation and whether you’re dealing with qualitative, quantitative or mixed-methods research. It’s good to be consistent with the results chapter, so you could structure your discussion chapter, where possible, in the same way as your results.

When it comes to structure, it’s particularly important that you guide your reader through the various points, subtopics or themes of your discussion. You should do this by structuring sections of your discussion, which might incorporate three or four paragraphs around the same theme or issue, in a three-part way that mirrors the typical three-part essay structure of introduction, main body and conclusion.

Cycle of introduction (topic sentence), to main body (analysis), to conclusion (takeaways). Graphic at right shows cycle repeating 3, 5, and 4 times for subtopics A, B, and C.

Figure 1: The three-part cycle that embodies a typical essay structure and reflects how you structure themes or subtopics in your discussion.

This is your topic sentence where you clearly state the focus of this paragraph/section. It’s often a fairly short, declarative statement in order to grab the reader’s attention, and it should be clearly related to your research purpose, such as responding to a research question.

This constitutes your analysis where you explore the theme or focus, outlined in the topic sentence, in further detail by interrogating why this particular theme or finding emerged and the significance of this data. This is also where you bring in the relevant secondary literature.

This is the evaluative stage of the cycle where you explicitly return back to the topic sentence and tell the reader what this means in terms of answering the relevant research question and establishing new knowledge. It could be a single sentence, or a short paragraph, and it doesn’t strictly need to appear at the end of every section or theme. Instead, some prefer to bring the main themes together towards the end of the discussion in a single paragraph or two. Either way, it’s imperative that you evaluate the significance of your discussion and tell the reader what this means.

A note on the three-part structure

This is often how you’re taught to construct a paragraph, but the themes and ideas you engage with at dissertation level are going to extend beyond the confines of a short paragraph. Therefore, this is a structure to guide how you write about particular themes or patterns in your discussion. Think of this structure like a cycle that you can engage in its smallest form to shape a paragraph; in a slightly larger form to shape a subsection of a chapter; and in its largest form to shape the entire chapter. You can 'level up' the same basic structure to accommodate a deeper breadth of thinking and critical engagement.

Using secondary literature

Your discussion chapter should return to the relevant literature (previously identified in your literature review ) in order to contextualise and deepen your reader’s understanding of the findings. This might help to strengthen your findings, or you might find contradictory evidence that serves to counter your results. In the case of the latter, it’s important that you consider why this might be and the implications for this. It’s through your incorporation of secondary literature that you can consider the question, ‘What do we now know that we didn’t before?’

Limitations

You may have included a limitations section in your methodology chapter (see our Writing the Methodology guide ), but it’s also common to have one in your discussion chapter. The difference here is that your limitations are directly associated with your results and the capacity to interpret and analyse those results.

Think of it this way: the limitations in your methodology refer to the issues identified before conducting the research, whilst the limitations in your discussion refer to the issues that emerged after conducting the research. For example, you might only be able to identify a limitation about the external validity or generalisability of your research once you have processed and analysed the data. Try not to overstress the limitations of your work – doing so can undermine the work you’ve done – and try to contextualise them, perhaps by relating them to certain limitations of other studies.

Recommendations

It’s often good to follow your limitations with some recommendations for future research. This creates a neat linearity from what didn’t work, or what could be improved, to how other researchers could address these issues in the future. This helps to reposition your limitations in a positive way by offering an action-oriented response. Try to limit the amount of recommendations you discuss – too many can bring the end of your discussion to a rather negative end as you’re ultimately focusing on what should be done, rather than what you have done. You also don’t need to repeat the recommendations in your conclusion if you’ve included them here.

What to avoid

This portion of the guide will cover some common missteps you should try to avoid in writing your results and discussion.

Over-reliance on tables and figures

It’s very common to produce visual representations of data, such as graphs and tables, and to use these representations in your results chapter. However, the use of these figures should not entirely replace your written account of the data. You don’t need to specify every detail in the data set, but you should provide some written account of what the data shows, drawing your reader’s attention to the most important elements of the data. The figures should support your account and help to contextualise your results. Simply stating, ‘look at Table 1’, without any further detail is not sufficient. Writers often try to do this as a way of saving words, but your markers will know!

Ignoring unexpected or contradictory data

Research can be a complex process with ups and downs, surprises and anomalies. Don’t be tempted to ignore any data that doesn’t meet your expectations, or that perhaps you’re struggling to explain. Failing to report on data for these, and other such reasons, is a problem because it undermines your credibility as a researcher, which inevitably undermines your research in the process. You have to do your best to provide some reason to such data. For instance, there might be some methodological reason behind a particular trend in the data.

Including raw data

You don’t need to include any raw data in your results chapter – raw data meaning unprocessed data that hasn’t undergone any calculations or other such refinement. This can overwhelm your reader and obscure the clarity of the research. You can include raw data in an appendix, providing you feel it’s necessary.

Presenting new results in the discussion

You shouldn’t be stating original findings for the first time in the discussion chapter. The findings of your study should first appear in your results before elaborating on them in the discussion.

Overstressing the significance of your research

It’s important that you clarify what your research demonstrates so you can highlight your own contribution to the research field. However, don’t overstress or inflate the significance of your results. It’s always difficult to provide definitive answers in academic research, especially with qualitative data. You should be confident and authoritative where possible, but don’t claim to reach the absolute truth when perhaps other conclusions could be reached. Where necessary, you should use hedging (see definition) to slightly soften the tone and register of your language.

Definition: Hedging refers to 'the act of expressing your attitude or ideas in tentative or cautious ways' (Singh and Lukkarila, 2017: 101). It’s mostly achieved through a number of verbs or adverbs, such as ‘suggest’ or ‘seemingly.’

Q: What’s the difference between the results and discussion?

A: The results chapter is a factual account of the data collected, whilst the discussion considers the implications of these findings by relating them to relevant literature and answering your research question(s). See the tab 'The Differences' in this guide for more detail.

Q: Should the discussion include recommendations for future research?

A: Your dissertation should include some recommendations for future research, but it can vary where it appears. Recommendations are often featured towards the end of the discussion chapter, but they also regularly appear in the conclusion chapter (see our Writing the Conclusion guide for more). It simply depends on your dissertation and the conventions of your school or department. It’s worth consulting any specific guidance that you’ve been given, or asking your supervisor directly.

Q: Should the discussion include the limitations of the study?

A: Like the answer above, you should engage with the limitations of your study, but it might appear in the discussion of some dissertations, or the conclusion of others. Consider the narrative flow and whether it makes sense to include the limitations in your discussion chapter, or your conclusion. You should also consult any discipline-specific guidance you’ve been given, or ask your supervisor for more. Be mindful that this is slightly different to the limitations outlined in the methodology or methods chapter (see our Writing the Methodology guide vs. the 'Discussion' tab of this guide).

Q: Should the results and discussion be in the first-person or third?

A: It’s important to be consistent , so you should use whatever you’ve been using throughout your dissertation. Third-person is more commonly accepted, but certain disciplines are happy with the use of first-person. Just remember that the first-person pronoun can be a distracting, but powerful device, so use it sparingly. Consult your lecturer for discipline-specific guidance.

Q: Is there a difference between the discussion and the conclusion of a dissertation?

A: Yes, there is a difference. The discussion chapter is a detailed consideration of how your findings answer your research questions. This includes the use of secondary literature to help contextualise your discussion. Rather than considering the findings in detail, the conclusion briefly summarises and synthesises the main findings of your study before bringing the dissertation to a close. Both are similar, particularly in the way they ‘broaden out’ to consider the wider implications of the research. They are, however, their own distinct chapters, unless otherwise stated by your supervisor.

The results and discussion chapters (or chapter) constitute a large part of your dissertation as it’s here where your original contribution is foregrounded and discussed in detail. Remember, the results chapter simply reports on the data collected, whilst the discussion is where you consider your research questions and/or hypothesis in more detail by interpreting and interrogating the data. You can integrate both into a single chapter and weave the interpretation of your findings throughout the chapter, although it’s common for both the results and discussion to appear as separate chapters. Consult your supervisor for further guidance.

Here’s a final checklist for writing your results and discussion. Remember that not all of these points will be relevant for you, so make sure you cover whatever’s appropriate for your dissertation. The asterisk (*) indicates any content that might not be relevant for your dissertation. To download a copy of the checklist to save and edit, please use the Word document, below.

Results and discussion self-evaluation checklist

Aspect of Results or Discussion Chapters	Yes/Unsure/No
I have my results and discussion in a that suits the nature of my research.
I have used (where relevant) my written account of the results.
I have to discuss and interpret my findings.
I have that might not adhere to my expectations or that might not correspond with other findings in the data.
I have of my research and for future research.
I have used my discussion to answer the question, , conveying to the reader the of my findings.

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Last Updated: Aug 14, 2024 11:12 AM
URL: https://library.soton.ac.uk/writing_the_dissertation

How to Write an Impressive Thesis Results Section

After collecting and analyzing your research data, it’s time to write the results section. This article explains how to write and organize the thesis results section, the differences in reporting qualitative and quantitative data, the differences in the thesis results section across different fields, and the best practices for tables and figures.

What is the thesis results section?

The thesis results section factually and concisely describes what was observed and measured during the study but does not interpret the findings. It presents the findings in a logical order.

What should the thesis results section include?

Include all relevant results as text, tables, or figures
Report the results of subject recruitment and data collection
For qualitative research, present the data from all statistical analyses, whether or not the results are significant
For quantitative research, present the data by coding or categorizing themes and topics
Present all secondary findings (e.g., subgroup analyses)
Include all results, even if they do not fit in with your assumptions or support your hypothesis

What should the thesis results section not include?

If the study involves the thematic analysis of an interview, don’t include complete transcripts of all interviews. Instead, add these as appendices
Don’t present raw data. These may be included in appendices
Don’t include background information (this should be in the introduction section )
Don’t speculate on the meaning of results that do not support your hypothesis. This will be addressed later in the discussion and conclusion sections.
Don’t repeat results that have been presented in tables and figures. Only highlight the pertinent points or elaborate on specific aspects

How should the thesis results section be organized?

The opening paragraph of the thesis results section should briefly restate the thesis question. Then, present the results objectively as text, figures, or tables.

Quantitative research presents the results from experiments and statistical tests , usually in the form of tables and figures (graphs, diagrams, and images), with any pertinent findings emphasized in the text. The results are structured around the thesis question. Demographic data are usually presented first in this section.

For each statistical test used, the following information must be mentioned:

The type of analysis used (e.g., Mann–Whitney U test or multiple regression analysis)
A concise summary of each result, including descriptive statistics (e.g., means, medians, and modes) and inferential statistics (e.g., correlation, regression, and p values) and whether the results are significant
Any trends or differences identified through comparisons
How the findings relate to your research and if they support or contradict your hypothesis

Qualitative research presents results around key themes or topics identified from your data analysis and explains how these themes evolved. The data are usually presented as text because it is hard to present the findings as figures.

For each theme presented, describe:

General trends or patterns observed
Significant or representative responses
Relevant quotations from your study subjects

Relevant characteristics about your study subjects

Differences among the results section in different fields of research

Nevertheless, results should be presented logically across all disciplines and reflect the thesis question and any hypotheses that were tested.

The presentation of results varies considerably across disciplines. For example, a thesis documenting how a particular population interprets a specific event and a thesis investigating customer service may both have collected data using interviews and analyzed it using similar methods. Still, the presentation of the results will vastly differ because they are answering different thesis questions. A science thesis may have used experiments to generate data, and these would be presented differently again, probably involving statistics. Nevertheless, results should be presented logically across all disciplines and reflect the thesis question and any hypotheses that were tested.

Differences between reporting thesis results in the Sciences and the Humanities and Social Sciences (HSS) domains

In the Sciences domain (qualitative and experimental research), the results and discussion sections are considered separate entities, and the results from experiments and statistical tests are presented. In the HSS domain (qualitative research), the results and discussion sections may be combined.

There are two approaches to presenting results in the HSS field:

If you want to highlight important findings, first present a synopsis of the results and then explain the key findings.
If you have multiple results of equal significance, present one result and explain it. Then present another result and explain that, and so on. Conclude with an overall synopsis.

Best practices for using tables and figures

The use of figures and tables is highly encouraged because they provide a standalone overview of the research findings that are much easier to understand than wading through dry text mentioning one result after another. The text in the results section should not repeat the information presented in figures and tables. Instead, it should focus on the pertinent findings or elaborate on specific points.

Some popular software programs that can be used for the analysis and presentation of statistical data include Statistical Package for the Social Sciences (SPSS ) , R software , MATLAB , Microsoft Excel, Statistical Analysis Software (SAS) , GraphPad Prism , and Minitab .

The easiest way to construct tables is to use the Table function in Microsoft Word . Microsoft Excel can also be used; however, Word is the easier option.

General guidelines for figures and tables

Figures and tables must be interpretable independent from the text
Number tables and figures consecutively (in separate lists) in the order in which they are mentioned in the text
All tables and figures must be cited in the text
Provide clear, descriptive titles for all figures and tables
Include a legend to concisely describe what is presented in the figure or table

Figure guidelines

Label figures so that the reader can easily understand what is being shown
Use a consistent font type and font size for all labels in figure panels
All abbreviations used in the figure artwork should be defined in the figure legend

Table guidelines

All table columns should have a heading abbreviation used in tables should be defined in the table footnotes
All numbers and text presented in tables must correlate with the data presented in the manuscript body

Quantitative results example : Figure 3 presents the characteristics of unemployed subjects and their rate of criminal convictions. A statistically significant association was observed between unemployed people <20 years old, the male sex, and no household income.

Qualitative results example: Table 5 shows the themes identified during the face-to-face interviews about the application that we developed to anonymously report corruption in the workplace. There was positive feedback on the app layout and ease of use. Concerns that emerged from the interviews included breaches of confidentiality and the inability to report incidents because of unstable cellphone network coverage.


Ease of use of the app	The app was easy to use, and I did not have to contact the helpdesk
	I wish all apps were so user-friendly!
App layout	The screen was not cluttered. The text was easy to read
	The icons on the screen were easy to understand
Confidentiality	I am scared that the app developers will disclose my name to my employer
Unstable network coverage	I was unable to report an incident that occurred at one of our building sites because there was no cellphone reception
	I wanted to report the incident immediately , but I had to wait until I was home, where the cellphone network signal was strong

Table 5. Themes and selected quotes from the evaluation of our app designed to anonymously report workplace corruption.

Tips for writing the thesis results section

Do not state that a difference was present between the two groups unless this can be supported by a significant p-value .
Present the findings only . Do not comment or speculate on their interpretation.
Every result included must have a corresponding method in the methods section. Conversely, all methods must have associated results presented in the results section.
Do not explain commonly used methods. Instead, cite a reference.
Be consistent with the units of measurement used in your thesis study. If you start with kg, then use the same unit all throughout your thesis. Also, be consistent with the capitalization of units of measurement. For example, use either “ml” or “mL” for milliliters, but not both.
Never manipulate measurement outcomes, even if the result is unexpected. Remain objective.

Results vs. discussion vs. conclusion

Results are presented in three sections of your thesis: the results, discussion, and conclusion.

In the results section, the data are presented simply and objectively. No speculation or interpretation is given.
In the discussion section, the meaning of the results is interpreted and put into context (e.g., compared with other findings in the literature ), and its importance is assigned.
In the conclusion section, the results and the main conclusions are summarized.

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.

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Review Checklist

Have you completed all data collection procedures and analyzed all results ?

Have you included all results relevant to your thesis question, even if they do not support your hypothesis?

Have you reported the results objectively , with no interpretation or speculation?

For quantitative research, have you included both descriptive and inferential statistical results and stated whether they support or contradict your hypothesis?

Have you used tables and figures to present all results?

In your thesis body, have you presented only the pertinent results and elaborated on specific aspects that were presented in the tables and figures?

Are all tables and figures correctly labeled and cited in numerical order in the text?

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Home » Research Results Section – Writing Guide and Examples

Research Results Section – Writing Guide and Examples

Table of Contents

Research Results

Research results refer to the findings and conclusions derived from a systematic investigation or study conducted to answer a specific question or hypothesis. These results are typically presented in a written report or paper and can include various forms of data such as numerical data, qualitative data, statistics, charts, graphs, and visual aids.

Results Section in Research

The results section of the research paper presents the findings of the study. It is the part of the paper where the researcher reports the data collected during the study and analyzes it to draw conclusions.

In the results section, the researcher should describe the data that was collected, the statistical analysis performed, and the findings of the study. It is important to be objective and not interpret the data in this section. Instead, the researcher should report the data as accurately and objectively as possible.

Structure of Research Results Section

The structure of the research results section can vary depending on the type of research conducted, but in general, it should contain the following components:

Introduction: The introduction should provide an overview of the study, its aims, and its research questions. It should also briefly explain the methodology used to conduct the study.
Data presentation : This section presents the data collected during the study. It may include tables, graphs, or other visual aids to help readers better understand the data. The data presented should be organized in a logical and coherent way, with headings and subheadings used to help guide the reader.
Data analysis: In this section, the data presented in the previous section are analyzed and interpreted. The statistical tests used to analyze the data should be clearly explained, and the results of the tests should be presented in a way that is easy to understand.
Discussion of results : This section should provide an interpretation of the results of the study, including a discussion of any unexpected findings. The discussion should also address the study’s research questions and explain how the results contribute to the field of study.
Limitations: This section should acknowledge any limitations of the study, such as sample size, data collection methods, or other factors that may have influenced the results.
Conclusions: The conclusions should summarize the main findings of the study and provide a final interpretation of the results. The conclusions should also address the study’s research questions and explain how the results contribute to the field of study.
Recommendations : This section may provide recommendations for future research based on the study’s findings. It may also suggest practical applications for the study’s results in real-world settings.

Outline of Research Results Section

The following is an outline of the key components typically included in the Results section:

I. Introduction

A brief overview of the research objectives and hypotheses
A statement of the research question

II. Descriptive statistics

Summary statistics (e.g., mean, standard deviation) for each variable analyzed
Frequencies and percentages for categorical variables

III. Inferential statistics

Results of statistical analyses, including tests of hypotheses
Tables or figures to display statistical results

IV. Effect sizes and confidence intervals

Effect sizes (e.g., Cohen’s d, odds ratio) to quantify the strength of the relationship between variables
Confidence intervals to estimate the range of plausible values for the effect size

V. Subgroup analyses

Results of analyses that examined differences between subgroups (e.g., by gender, age, treatment group)

VI. Limitations and assumptions

Discussion of any limitations of the study and potential sources of bias
Assumptions made in the statistical analyses

VII. Conclusions

A summary of the key findings and their implications
A statement of whether the hypotheses were supported or not
Suggestions for future research

Example of Research Results Section

An Example of a Research Results Section could be:

This study sought to examine the relationship between sleep quality and academic performance in college students.
Hypothesis : College students who report better sleep quality will have higher GPAs than those who report poor sleep quality.
Methodology : Participants completed a survey about their sleep habits and academic performance.

II. Participants

Participants were college students (N=200) from a mid-sized public university in the United States.
The sample was evenly split by gender (50% female, 50% male) and predominantly white (85%).
Participants were recruited through flyers and online advertisements.

III. Results

Participants who reported better sleep quality had significantly higher GPAs (M=3.5, SD=0.5) than those who reported poor sleep quality (M=2.9, SD=0.6).
See Table 1 for a summary of the results.
Participants who reported consistent sleep schedules had higher GPAs than those with irregular sleep schedules.

IV. Discussion

The results support the hypothesis that better sleep quality is associated with higher academic performance in college students.
These findings have implications for college students, as prioritizing sleep could lead to better academic outcomes.
Limitations of the study include self-reported data and the lack of control for other variables that could impact academic performance.

V. Conclusion

College students who prioritize sleep may see a positive impact on their academic performance.
These findings highlight the importance of sleep in academic success.
Future research could explore interventions to improve sleep quality in college students.

Example of Research Results in Research Paper :

Our study aimed to compare the performance of three different machine learning algorithms (Random Forest, Support Vector Machine, and Neural Network) in predicting customer churn in a telecommunications company. We collected a dataset of 10,000 customer records, with 20 predictor variables and a binary churn outcome variable.

Our analysis revealed that all three algorithms performed well in predicting customer churn, with an overall accuracy of 85%. However, the Random Forest algorithm showed the highest accuracy (88%), followed by the Support Vector Machine (86%) and the Neural Network (84%).

Furthermore, we found that the most important predictor variables for customer churn were monthly charges, contract type, and tenure. Random Forest identified monthly charges as the most important variable, while Support Vector Machine and Neural Network identified contract type as the most important.

Overall, our results suggest that machine learning algorithms can be effective in predicting customer churn in a telecommunications company, and that Random Forest is the most accurate algorithm for this task.

Example 3 :

Title : The Impact of Social Media on Body Image and Self-Esteem

Abstract : This study aimed to investigate the relationship between social media use, body image, and self-esteem among young adults. A total of 200 participants were recruited from a university and completed self-report measures of social media use, body image satisfaction, and self-esteem.

Results: The results showed that social media use was significantly associated with body image dissatisfaction and lower self-esteem. Specifically, participants who reported spending more time on social media platforms had lower levels of body image satisfaction and self-esteem compared to those who reported less social media use. Moreover, the study found that comparing oneself to others on social media was a significant predictor of body image dissatisfaction and lower self-esteem.

Conclusion : These results suggest that social media use can have negative effects on body image satisfaction and self-esteem among young adults. It is important for individuals to be mindful of their social media use and to recognize the potential negative impact it can have on their mental health. Furthermore, interventions aimed at promoting positive body image and self-esteem should take into account the role of social media in shaping these attitudes and behaviors.

Importance of Research Results

Research results are important for several reasons, including:

Advancing knowledge: Research results can contribute to the advancement of knowledge in a particular field, whether it be in science, technology, medicine, social sciences, or humanities.
Developing theories: Research results can help to develop or modify existing theories and create new ones.
Improving practices: Research results can inform and improve practices in various fields, such as education, healthcare, business, and public policy.
Identifying problems and solutions: Research results can identify problems and provide solutions to complex issues in society, including issues related to health, environment, social justice, and economics.
Validating claims : Research results can validate or refute claims made by individuals or groups in society, such as politicians, corporations, or activists.
Providing evidence: Research results can provide evidence to support decision-making, policy-making, and resource allocation in various fields.

How to Write Results in A Research Paper

Here are some general guidelines on how to write results in a research paper:

Organize the results section: Start by organizing the results section in a logical and coherent manner. Divide the section into subsections if necessary, based on the research questions or hypotheses.
Present the findings: Present the findings in a clear and concise manner. Use tables, graphs, and figures to illustrate the data and make the presentation more engaging.
Describe the data: Describe the data in detail, including the sample size, response rate, and any missing data. Provide relevant descriptive statistics such as means, standard deviations, and ranges.
Interpret the findings: Interpret the findings in light of the research questions or hypotheses. Discuss the implications of the findings and the extent to which they support or contradict existing theories or previous research.
Discuss the limitations : Discuss the limitations of the study, including any potential sources of bias or confounding factors that may have affected the results.
Compare the results : Compare the results with those of previous studies or theoretical predictions. Discuss any similarities, differences, or inconsistencies.
Avoid redundancy: Avoid repeating information that has already been presented in the introduction or methods sections. Instead, focus on presenting new and relevant information.
Be objective: Be objective in presenting the results, avoiding any personal biases or interpretations.

When to Write Research Results

Here are situations When to Write Research Results”

After conducting research on the chosen topic and obtaining relevant data, organize the findings in a structured format that accurately represents the information gathered.
Once the data has been analyzed and interpreted, and conclusions have been drawn, begin the writing process.
Before starting to write, ensure that the research results adhere to the guidelines and requirements of the intended audience, such as a scientific journal or academic conference.
Begin by writing an abstract that briefly summarizes the research question, methodology, findings, and conclusions.
Follow the abstract with an introduction that provides context for the research, explains its significance, and outlines the research question and objectives.
The next section should be a literature review that provides an overview of existing research on the topic and highlights the gaps in knowledge that the current research seeks to address.
The methodology section should provide a detailed explanation of the research design, including the sample size, data collection methods, and analytical techniques used.
Present the research results in a clear and concise manner, using graphs, tables, and figures to illustrate the findings.
Discuss the implications of the research results, including how they contribute to the existing body of knowledge on the topic and what further research is needed.
Conclude the paper by summarizing the main findings, reiterating the significance of the research, and offering suggestions for future research.

Purpose of Research Results

The purposes of Research Results are as follows:

Informing policy and practice: Research results can provide evidence-based information to inform policy decisions, such as in the fields of healthcare, education, and environmental regulation. They can also inform best practices in fields such as business, engineering, and social work.
Addressing societal problems : Research results can be used to help address societal problems, such as reducing poverty, improving public health, and promoting social justice.
Generating economic benefits : Research results can lead to the development of new products, services, and technologies that can create economic value and improve quality of life.
Supporting academic and professional development : Research results can be used to support academic and professional development by providing opportunities for students, researchers, and practitioners to learn about new findings and methodologies in their field.
Enhancing public understanding: Research results can help to educate the public about important issues and promote scientific literacy, leading to more informed decision-making and better public policy.
Evaluating interventions: Research results can be used to evaluate the effectiveness of interventions, such as treatments, educational programs, and social policies. This can help to identify areas where improvements are needed and guide future interventions.
Contributing to scientific progress: Research results can contribute to the advancement of science by providing new insights and discoveries that can lead to new theories, methods, and techniques.
Informing decision-making : Research results can provide decision-makers with the information they need to make informed decisions. This can include decision-making at the individual, organizational, or governmental levels.
Fostering collaboration : Research results can facilitate collaboration between researchers and practitioners, leading to new partnerships, interdisciplinary approaches, and innovative solutions to complex problems.

Advantages of Research Results

Some Advantages of Research Results are as follows:

Improved decision-making: Research results can help inform decision-making in various fields, including medicine, business, and government. For example, research on the effectiveness of different treatments for a particular disease can help doctors make informed decisions about the best course of treatment for their patients.
Innovation : Research results can lead to the development of new technologies, products, and services. For example, research on renewable energy sources can lead to the development of new and more efficient ways to harness renewable energy.
Economic benefits: Research results can stimulate economic growth by providing new opportunities for businesses and entrepreneurs. For example, research on new materials or manufacturing techniques can lead to the development of new products and processes that can create new jobs and boost economic activity.
Improved quality of life: Research results can contribute to improving the quality of life for individuals and society as a whole. For example, research on the causes of a particular disease can lead to the development of new treatments and cures, improving the health and well-being of millions of people.

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How to Write a Results Section for a Dissertation or Research Paper: Guide & Examples

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A results section is a crucial part of a research paper or dissertation, where you analyze your major findings. This section goes beyond simply presenting study outcomes. You should also include a comprehensive statistical analysis and interpret the collected data in detail.

Without dissertation research results, it is impossible to imagine a scientific work. Your task here is to present your study findings. What are qualitative or quantitative indicators? How to use tables and diagrams? How to describe data? Our article answers all these questions and many more. So, read further to discover how to analyze and describe your research indexes or contact or professionals for dissertation help from StudyCrumb.

What Is a Results Section of Dissertation?

The results section of a dissertation is a data statement from your research. Here you should present the main findings of your study to your readers. This section aims to show information objectively, systematically, concisely. It is allowed using text supplemented with illustrations. In general, this section's length is not limited but should include all necessary data. Interpretations or conclusions should not be included in this section. Therefore, in theory, this is one of your shortest sections. But it can also be one of the most challenging sections. The introduction presents a research topic and answers the question "why?". The Methods section explains the data collection process and answers "how?". Meanwhile, the result section shows actual data gained from experiments and tells "what?" Thus, this part plays a critical role in highlighting study's relevance. This chapter gives reader study relevance with novelty. So, you should figure out how to write it correctly. Here are main tasks that you should keep in mind while writing:

Results answer the question "What was found in your research?"
Results contain only your study's outcome. They do not include comments or interpretations.
Results must always be presented accurately & objectively.
Tables & figures are used to draw readers' attention. But the same data should never be presented in the form of a table and a figure. Don't repeat anything from a table also in text.

Dissertation: Results vs Discussion vs Conclusion

Results and discussion sections of a dissertation are often confused among researchers. Sometimes both these parts are mixed up with a conclusion for thesis . Figured out what is covered in each of these important chapters. Your readers should see that you notice how different they are. A clear understanding of differences will help you write your dissertation more effectively. 5 differences between Results VS Discussion VS Conclusion:


answers the question "What?" regarding your research	answer the question "So what?" regarding your research
describes experiments carried out before writing article	summarize and interpret significance of leading research findings
states results, but does not interpret them	interpret results but does not re-state them
includes only those data that will be relevant to Discussion and Conclusion	do not present new results, so do not make statements that your outcomes cannot support
uses simple past tense	use both past and present tense as needed
includes non-textual elements such as tables, pictures, and photographs	only text, although you can also link to non-text elements

Wanna figure out the actual difference between discussion vs conclusion? Check out our helpful articles about Dissertation Discussion or Dissertation Conclusion.

Present Your Findings When Writing Results Section of Dissertation

Now it's time to understand how to arrange the results section of the dissertation. First, present most general findings, then narrow it down to a more specific one. Describe both qualitative & quantitative results. For example, imagine you are comparing the behavior of hamsters and mice. First, say a few words about the behavioral type of mammals that you studied. Then, mention rodents in general. At end, describe specific species of animals you carried out an experiment on.

Qualitative Results Section in Dissertation

In your dissertation results section, qualitative data may not be directly related to specific sub-questions or hypotheses. You can structure this chapter around main issues that arise when analyzing data. For each question, make a general observation of what data show. For example, you may recall recurring agreements or differences, patterns, trends. Personal answers are the basis of your research. Clarify and support these views with direct quotes. Add more information to the thesis appendix if it's needed.

Quantitative Results Section in a Dissertation

The easiest way to write a quantitative dissertation results section is to build it around a sub-question or hypothesis of your research. For each subquery, provide relevant results and include statistical analysis . Then briefly evaluate importance & reliability. Notice how each result relates to the problem or whether it supports the hypothesis. Focus on key trends, differences, and relationships between data. But don't speculate about their meaning or consequences. This should be put in the discussion vs conclusion section. Suppose your results are not directly related to answering your questions. Maybe there is additional information that helps readers understand how you collect data. In that case, you can include them in the appendix. It is often helpful to include visual elements such as graphs, charts, and tables. But only if they accurately support your results and add value.

Tables and Figures in Results Section in Dissertation

We recommend you use tables or figures in the dissertation results section correctly. Such interpretation can effectively present complex data concisely and visually. It allows readers to quickly gain a statistical overview. On the contrary, poorly designed graphs can confuse readers. That will reduce the effectiveness of your article. Here are our recommendations that help you understand how to use tables and figures:

Make sure tables and figures are self-explanatory. Sometimes, your readers may look at tables and figures before reading the entire text. So they should make sense as separate elements.
Do not repeat the content of tables and figures in text. Text can be used to highlight key points from tables and figures. But do not repeat every element.
Make sure that values or information in tables and text are consistent. Make sure that abbreviations, group names, interpretations are the same as in text.
Use clear, informative titles for tables and figures. Do not leave any table or figure without a title or legend. Otherwise, readers will not be able to understand data's meaning. Also, make sure column names, labels, figures are understandable.
Check accuracy of data presented in tables and figures. Always double-check tables and figures to make sure numbers converge.
Tables should not contain redundant information. Make sure tables in the article are not too crowded. If you need to provide extensive data, use Appendixes.
Make sure images are clear. Make sure images and all parts of drawings are precise. Lettering should be in a standard font and legible against the background of the picture.
Ask for permission to use illustrations. If you use illustrations, be sure to ask copyright holders and indicate them.

Tips on How to Write a Results Section

We have prepared several tips on how to write the results section of the dissertation! Present data collected during study objectively, logically, and concisely. Highlight most important results and organize them into specific sections. It is an excellent way to show that you have covered all the descriptive information you need. Correct usage of visual elements effectively helps your readers with understanding. So, follow main 3 rules for writing this part:

State only actual results. Leave explanations and comments for Discussion.
Use text, tables, and pictures to orderly highlight key results.
Make sure that contents of tables and figures are not repeated in text.

In case you have questions about a conceptual framework in research , you will find a blog dedicated to this issue in our database.

What to Avoid When Writing the Results Section of a Dissertation

Here we will discuss how NOT to write the results section of a dissertation. Or simply, what points to avoid:

Do not make your research too complicated. Your paper, tables, and graphs should be clearly marked and follow order. So that they can exist independently without further explanation.
Do not include raw data. Remember, you are summarizing relevant results, not reporting them in detail. This chapter should briefly summarize your findings. Avoid complete introduction to each number and calculation.
Do not contradict errors or false results. Explain these errors and contradictions in conclusions. This often happens when different research methods have been used.
Do not write a conclusion or discussion. Instead, this part should contain summaries of findings.
Do not tend to include explanations and inferences from results. Such an approach can make this chapter subjective, unclear, and confusing to the reader.
Do not forget about novelty. Its lack is one of the main reasons for the paper's rejection.

Dissertation Results Section Example

Let's take a look at some good results section of dissertation examples. Remember that this part shows fundamental research you've done in detail. So, it has to be clear and concise, as you can see in the sample.

Final Thoughts on Writing Results Section of Dissertation

When writing a results section of a dissertation, highlight your achievements by data. The main chapter's task is to convince the reader of conclusions' validity of your research. You should not overload text with too detailed information. Never use words whose meanings you do not understand. Also, oversimplification may seem unconvincing for readers. But on the other hand, writing this part can even be fun. You can directly see your study results, which you'll interpret later. So keep going, and we wish you courage!

Writing any academic paper is long and thorough work. But StudyCrumb got you back! Our professional writers will deliver any type of work quickly and excellently!

Joe Eckel is an expert on Dissertations writing. He makes sure that each student gets precious insights on composing A-grade academic writing.

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The Results Section of a Dissertation

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Tags: Academic Research , Academic Writing , Dissertation

The main purpose of a dissertation is to contribute knowledge to your field of study. So it goes without saying that a dissertation is rather pointless if you don’t document the results of your research clearly! This is where you document the findings of your research, where you make sense of what you have discovered throughout the research process and explain its relevance to the research question or problem. Let’s explore how to write the results section of your dissertation.

What goes in the results section

Conventionally, the results section is the fourth chapter of your dissertation, written after you present your method of study . How exactly you present your findings differs from study to study, depending on the topic and discipline your research is situated in, the methods you used, and what kind of data you are presenting.

Here’s what you’ll cover in the results chapter:

A brief reminder of the research question and the purpose of your research
The results of your experiment or study and what they mean
The data that you’ve collected in sentence form, accompanied by visual elements such as tables, graphs, charts, etc.
A critical analysis of how they relate to your research question

Pro-tip: Always check your university’s guidelines for specific details on what you are required to write about in this section.

Results vs discussion

It’s important to note that the results chapter is usually not the same as the discussion . The purpose of the results section is to present findings in a logical, objective, and impartial manner. At this stage, you do not include your interpretation as a researcher or discuss the implications of the research. Observations that you make, as a researcher, are better suited for the next few chapters. In other words, you simply present the data in the results chapter, and you interpret it in the discussion chapter.

Although, in some cases (for instance, if your university tells you to), you may be asked to combine the two sections. In this case, you’ll have to weave your interpretation and analysis into the segments where you’re presenting data.

How to write and structure the results section

Regardless of whether your dissertation is qualitative or quantitative in nature, there are certain aspects common to this chapter. It has an introduction that reiterates the aims and purpose of the research, a body that deconstructs the results obtained during the research process, and a conclusion that summarizes the study’s findings and sets the stage for a discussion about its implications for your research area.

This chapter is written in the simple past tense, as you are reporting a study that has been conducted in the past.

Reporting qualitative research

The purpose of qualitative research is to explore the depth and nuances of a particular topic. So you’ll be engaged with uncovering it through words and detailed descriptions, rather than hard numbers. A qualitative study sees data being presented primarily in the form of words , often supplemented with quantitative data that supports relevant claims. You’re likely to resort to this kind of analysis if you’re working in humanities and social sciences.

The first decision you’ll need to make at this moment is whether you’ll be structuring your data chronologically (in order of how you conducted the research) or thematically (in terms of patterns and trends that you see in your data).

Ensure that each finding you highlight is directly relevant to your research question. You may have made many discoveries over the course of your research, but your chapter has to be concise and report findings that either support or contradict your hypothesis. There is a lot of raw data that you will need to sift through to decide what’s important.

Include excerpts and quotations from appropriate sources such as interviews, discussion transcripts, supporting literature, and so on, to back each of your findings.

Although your chapter is mostly just a barrage of words, it’s useful to have graphs, tables, charts, and other visual elements that illustrate what you’re saying in text. Having such quantitative parameters within the chapter is not mandatory (and may not even apply to certain types of research, like a literary analysis), but is often helpful with establishing a story for your research.

Commonly used qualitative research methods: in-depth interviews, case studies, focus group discussions, theoretical research , literary analysis, and so forth.

Reporting quantitative research

Quantitative research, as the name suggests, focuses on studying data through statistical and mathematical techniques. If you’re doing this type of research for your dissertation, your results chapter will be dominated by statistics and numbers (represented through graphs, tables, charts, etc.), explained succinctly through text.

Here’s what you have to include in the chapter:

Statistical analysis, their relevance and relationship with the research question
Observations about whether data supports or rejects the hypothesis
Trends, patterns, and relationships that can be understood from the data

Since numerical data can be dense and difficult to understand at the first glance, it’s always advised that you articulate them visually, through graphs, tables, charts, and perhaps even relevant figures. Not only does this allow you to deconstruct data in a more appealing way, but it also allows you to spell out a narrative for your data, which you will support with text that explains your findings.

Commonly used quantitative research methods: Surveys, polls, simulations and modeling of data

Tips to write a good results section

Include tables, figures, and other visual elements to present complex data in a more accessible way. These elements should supplement the words rather than be repetitive.
Use a variety of visual elements to illustrate data that might be difficult to interpret solely with words.
Be honest in your reporting. This may seem obvious, but it’s easy to forget that results always don’t need to corroborate your hypothesis. In fact, it’s perfectly acceptable for the opposite to happen; this is useful in telling the research community that something doesn’t work! What matters in this section is relevance.
Be concise and precise in your reporting. You don’t need to delve into every little detail about your data. Simply present data and information that is relevant to your research question.

Frequently Asked Questions

Are the results and discussion sections the same, do i have to combine the results and discussions sections, where can i document raw data i haven’t been able to include in the chapter, how long should the results section of a dissertation be, what can i include in an appendix.

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Dissertation

How to Write a Dissertation | A Guide to Structure & Content

A dissertation or thesis is a long piece of academic writing based on original research, submitted as part of an undergraduate or postgraduate degree.

The structure of a dissertation depends on your field, but it is usually divided into at least four or five chapters (including an introduction and conclusion chapter).

The most common dissertation structure in the sciences and social sciences includes:

An introduction to your topic
A literature review that surveys relevant sources
An explanation of your methodology
An overview of the results of your research
A discussion of the results and their implications
A conclusion that shows what your research has contributed

Dissertations in the humanities are often structured more like a long essay , building an argument by analysing primary and secondary sources . Instead of the standard structure outlined here, you might organise your chapters around different themes or case studies.

Other important elements of the dissertation include the title page , abstract , and reference list . If in doubt about how your dissertation should be structured, always check your department’s guidelines and consult with your supervisor.

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Acknowledgements, table of contents, list of figures and tables, list of abbreviations, introduction, literature review / theoretical framework, methodology, reference list.

The very first page of your document contains your dissertation’s title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo. Many programs have strict requirements for formatting the dissertation title page .

The title page is often used as cover when printing and binding your dissertation .

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The acknowledgements section is usually optional, and gives space for you to thank everyone who helped you in writing your dissertation. This might include your supervisors, participants in your research, and friends or family who supported you.

The abstract is a short summary of your dissertation, usually about 150-300 words long. You should write it at the very end, when you’ve completed the rest of the dissertation. In the abstract, make sure to:

State the main topic and aims of your research
Describe the methods you used
Summarise the main results
State your conclusions

Although the abstract is very short, it’s the first part (and sometimes the only part) of your dissertation that people will read, so it’s important that you get it right. If you’re struggling to write a strong abstract, read our guide on how to write an abstract .

In the table of contents, list all of your chapters and subheadings and their page numbers. The dissertation contents page gives the reader an overview of your structure and helps easily navigate the document.

All parts of your dissertation should be included in the table of contents, including the appendices. You can generate a table of contents automatically in Word.

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If you have used a lot of tables and figures in your dissertation, you should itemise them in a numbered list . You can automatically generate this list using the Insert Caption feature in Word.

If you have used a lot of abbreviations in your dissertation, you can include them in an alphabetised list of abbreviations so that the reader can easily look up their meanings.

If you have used a lot of highly specialised terms that will not be familiar to your reader, it might be a good idea to include a glossary . List the terms alphabetically and explain each term with a brief description or definition.

In the introduction, you set up your dissertation’s topic, purpose, and relevance, and tell the reader what to expect in the rest of the dissertation. The introduction should:

Establish your research topic , giving necessary background information to contextualise your work
Narrow down the focus and define the scope of the research
Discuss the state of existing research on the topic, showing your work’s relevance to a broader problem or debate
Clearly state your objectives and research questions , and indicate how you will answer them
Give an overview of your dissertation’s structure

Everything in the introduction should be clear, engaging, and relevant to your research. By the end, the reader should understand the what , why and how of your research. Not sure how? Read our guide on how to write a dissertation introduction .

Before you start on your research, you should have conducted a literature review to gain a thorough understanding of the academic work that already exists on your topic. This means:

Collecting sources (e.g. books and journal articles) and selecting the most relevant ones
Critically evaluating and analysing each source
Drawing connections between them (e.g. themes, patterns, conflicts, gaps) to make an overall point

In the dissertation literature review chapter or section, you shouldn’t just summarise existing studies, but develop a coherent structure and argument that leads to a clear basis or justification for your own research. For example, it might aim to show how your research:

Addresses a gap in the literature
Takes a new theoretical or methodological approach to the topic
Proposes a solution to an unresolved problem
Advances a theoretical debate
Builds on and strengthens existing knowledge with new data

The literature review often becomes the basis for a theoretical framework , in which you define and analyse the key theories, concepts and models that frame your research. In this section you can answer descriptive research questions about the relationship between concepts or variables.

The methodology chapter or section describes how you conducted your research, allowing your reader to assess its validity. You should generally include:

The overall approach and type of research (e.g. qualitative, quantitative, experimental, ethnographic)
Your methods of collecting data (e.g. interviews, surveys, archives)
Details of where, when, and with whom the research took place
Your methods of analysing data (e.g. statistical analysis, discourse analysis)
Tools and materials you used (e.g. computer programs, lab equipment)
A discussion of any obstacles you faced in conducting the research and how you overcame them
An evaluation or justification of your methods

Your aim in the methodology is to accurately report what you did, as well as convincing the reader that this was the best approach to answering your research questions or objectives.

Next, you report the results of your research . You can structure this section around sub-questions, hypotheses, or topics. Only report results that are relevant to your objectives and research questions. In some disciplines, the results section is strictly separated from the discussion, while in others the two are combined.

For example, for qualitative methods like in-depth interviews, the presentation of the data will often be woven together with discussion and analysis, while in quantitative and experimental research, the results should be presented separately before you discuss their meaning. If you’re unsure, consult with your supervisor and look at sample dissertations to find out the best structure for your research.

In the results section it can often be helpful to include tables, graphs and charts. Think carefully about how best to present your data, and don’t include tables or figures that just repeat what you have written – they should provide extra information or usefully visualise the results in a way that adds value to your text.

Full versions of your data (such as interview transcripts) can be included as an appendix .

The discussion is where you explore the meaning and implications of your results in relation to your research questions. Here you should interpret the results in detail, discussing whether they met your expectations and how well they fit with the framework that you built in earlier chapters. If any of the results were unexpected, offer explanations for why this might be. It’s a good idea to consider alternative interpretations of your data and discuss any limitations that might have influenced the results.

The discussion should reference other scholarly work to show how your results fit with existing knowledge. You can also make recommendations for future research or practical action.

The dissertation conclusion should concisely answer the main research question, leaving the reader with a clear understanding of your central argument. Wrap up your dissertation with a final reflection on what you did and how you did it. The conclusion often also includes recommendations for research or practice.

In this section, it’s important to show how your findings contribute to knowledge in the field and why your research matters. What have you added to what was already known?

You must include full details of all sources that you have cited in a reference list (sometimes also called a works cited list or bibliography). It’s important to follow a consistent reference style . Each style has strict and specific requirements for how to format your sources in the reference list.

The most common styles used in UK universities are Harvard referencing and Vancouver referencing . Your department will often specify which referencing style you should use – for example, psychology students tend to use APA style , humanities students often use MHRA , and law students always use OSCOLA . M ake sure to check the requirements, and ask your supervisor if you’re unsure.

To save time creating the reference list and make sure your citations are correctly and consistently formatted, you can use our free APA Citation Generator .

Your dissertation itself should contain only essential information that directly contributes to answering your research question. Documents you have used that do not fit into the main body of your dissertation (such as interview transcripts, survey questions or tables with full figures) can be added as appendices .

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How to Write a Dissertation Dedication – Types & Examples

Published by Alvin Nicolas at August 30th, 2024 , Revised On September 2, 2024

Imagine you’re writing a research paper, a thesis, or a dissertation. You instantly feel that you should thank those people in your life who are not even helping you in your writing process, but who you are pleased and honoured to have in life. This is when you would consider writing a dedication dissertation. It helps you to thank and show love to the people you value and cherish in your life.

Moreover, dedication also allows the person to add personal and emotional value to their esteemed work. It significantly impacts the motivation and inspiration of the person to work hard and achieve their goals efficiently. A dedication at the start of the dissertation significantly also adds to the appeal of the dissertation and makes the readers think about the writer’s generosity and ingenuity.

This blog comprehensively discusses what a dissertation dedication is, dedication dissertation examples, and the effective steps to write one. You can write a dissertation dedication efficiently by understanding all these important steps.

What is Dissertation Dedication?

A dissertation dedication is a line, paragraph, or page at the start of a master’s or PhD thesis or dissertation. It is a personal type of acknowledgement and appreciation to the people in the writer’s life who provided him with sufficient motivation and inspiration to keep up with his dissertation.

By adding a dedication section to their book, writers show their love and obligation to those who supported them and cheered them up during their work. This makes them not just academic geniuses but also emotionally vulnerable and generous people.

Moreover, when dedicatees read their names and the love writer shows them in the dissertation, they feel pleased and honoured. It also provides them with the fulfilling sensation that their support and prayers have led to a beneficial fruit of success.

I dedicate this book to my wife…
I dedicate this project to my supervisor….

Dissertation Dedication and Poem

Dedication in a dissertation does not always have to be a line or a paragraph; it can also be a poem. Sometimes, writers add a poem to dedicate their dissertation to anyone. They can write the poem themselves in their own words or select a line or two from famous poems by reputable poets and writers.

Adding a poem in the dedication section shows not only the writer’s emotional vulnerability and softness but also their creativity and devotion to literacy pieces.

Can You Dedicate Your Dissertation to Someone?

Yes, you can dedicate your dissertation to anyone by naming them and appreciating their presence in your life and by your side. There are many amazing ways that you can dedicate your dissertation to someone. Whether you want to dedicate your dissertation to your parents, colleagues, classmates, teachers, or husband, you can effortlessly add their names and the part they played in your life.

This blog brings you different types of dedication you can add to your dissertation.

Types of Dissertation Dedication

Here are the types of dissertation dedication given in the following:

Dedication to Family

Dedication to the family is added under the dedication when writers want to appreciate and cherish the presence of their parents, siblings, and cousin.

I would like to dedicate this dissertation to my parents [names], who were there when no one was.
I dedicate my dissertation to my sister [name], who supported me through thick and thin.

Dedication to Friends

Sometimes, writers want to thank and dedicate their work to their friends who supported them and helped them through thick and thin.

I dedicate my dissertation to my best friend [name], who stood up for me during the process.

Dedication to Special Person

Dedication to a special person or loved one can also be added to the dissertation to show love and dedication to that person.

I would like to dedicate this dissertation to my girlfriend [name], who supported me at my lowest.

Dedication to Mentor or Advisor

Students also tend to dedicate their theses or dissertations to their mentors and advisors, who advised them and helped them address issues promptly.

I dedicate my dissertation to my advisor [name], who advised me and helped me make this successful.

Dedication to Colleagues or Peers

When writers complete their dissertations with the assistance of their colleagues and peers, they also tend to dedicate their projects to them.

I dedicate my dissertation to my colleague and good friend [name], without whose support this would never have been completed.

Dedication to Institution

Being and working in a particular institution also compels the writers to dedicate their dissertations to that institution.

I dedicate this dissertation to this amazing institution [name] that made me feel at home, nurtured me, and sprouted this seed.

Dedication to Additional People

Sometimes writers give dedication to those additional people who were there around them during work who maybe haven’t cheered them up but their presence meant a lot.

I would also like to dedicate this dissertation to [name1] and [name2]…. Whose presence meant a lot to me.

Dedication to the Deceased One

If a loved one has recently or in the past died, the writers also tend to dedicate their dissertation to that person.

I dedicate this dissertation to my grandmother [name], who is not with us but is always with us in our memories.

Dedication to the Almighty

Dedication to the Almighty allows the writers to be thankful to God and divine forces that help them and remove any hurdles from their lives.

To the God Almighty, who is most beneficial and most merciful, who blessed me with the power to fulfil this task.

Dedication to Inspirational Personality

Sometimes writers also dedicate their dissertations to inspirational personalities who inspired them by adding their famous quotes to the dedication.

I dedicate my dissertation to Martin Luther King whose endurance and patience brought the emancipation of the Black.

Dedication Vs. Acknowledgements in Dissertation

Here is the difference between dedication and acknowledgement in a dissertation:

Dedication	Acknowledgement
Dedication is the writer’s personal acknowledgement and appreciation for the people he values in life.	Acknowledgement is the recognition and appreciation of those people who supported the writer in completing his dissertation.
It contains appreciation for family, friends, colleagues, and special people.	It contains thanks to the members, advisors, and individuals who helped complete the dissertation.
It has an emotional and personal value.	It has a professional value.
It comes before the acknowledgement.	It comes after the dedication.

How to Write a Dedication for a Dissertation?

Here are the steps that will significantly help you to write your dissertation dedication efficiently:

Step 1: Choose the Person You Want To Dedicate To

The first step to writing a dissertation dedication is to choose the people you want to dedicate to. This could be your family, friend, colleague, or personal mentor. Remember to think about who was there for you during your writing process. Make a list of people if you want to add multiple dedicatees.

Step 2: Describe the Person

The second step of writing a dissertation syndication is describing the person that you have chosen to give dedication to. You should describe the relation that you have with that person and what he/she did to make your dissertation successful.

Step 3: Name the Person

After describing the person, name the person you chose to dedicate your dissertation. Naming the person will let readers know about the identity of the dedicatees, no matter if they have met them or not.

Step 4: Keep the Tone Honest and Sincere

It is also important to be honest and sincere while writing the dedication for your dissertation. The people who were there for you, who supported you through everything deserve to be cheered and appreciated in the most sincere and loving way possible.

Step 5: Maintain the Order for Multiple Personnel

When you have chosen multiple personnel to dedicate your life to, it is essential to appreciate their order according to their relation to and association with you. The person who is closer comes at the start. This also lets the readers know whose presence you cherish the most.

Step 6: Maintain the Length

It is essential to maintain the length of the dedication. Avoid overwriting and over-explaining in the deviation. It will unexpectedly lose the interest of readers to read the extensive paragraph of appreciation for someone. Write in a length that makes a powerful impact.

Step 7: Review, Revise, and Finalise

When you have successfully written the dedication for someone you chose to dedicate to your dissertation, it’s time to review it. Review to identify any mistakes and ensure the appropriate use of words. After making the necessary changes, finalise it.

Dissertation dedication Sample

Here is a sample of the dissertation dedication:

Dedication Dissertation Examples

These are the examples of dissertation dedication that can significantly help you write an amazing dedication your dissertation:


I dedicate this dissertation to my beloved family. I love you all too much. I especially thank and appreciate my parents, Martha and George Johansson, who supported me in this course and made me believe that I dream well and I can achieve well. Their spiritual and mental strength helped me and guided me through everything. I also thank my sister Kloe, who always made me believe that I am enough. I just have to believe in myself, and everything will come my way. I also dedicate this dissertation to my best friend Josh, who was always there for me when no one was, who taught me how to swim through deeper waters and how to stand when you have no strength left in your limbs. I also dedicate this dissertation to my therapist, Mr.Henry Neilson, who was always there through thick and thin. He made me realise that ups and downs are inevitable in life. You have to accept both sides in order to make peace with yourself and with the world. Finally, I dedicate this dissertation to God Almighty, who granted me all my strengths and weaknesses, all sickness and health, and all happiness and sorrow.

I dedicate this dissertation to my beloved family. I love you all too much. I especially thank and appreciate my parents, Martha and George Johansson, who supported me in this course and made me believe that I dream well and I can achieve well. Their spiritual and mental strength helped me and guided me through everything. I also thank my sister Kloe, who always made me believe that I am enough. I just have to believe in myself, and everything will come my way.

I also dedicate this dissertation to my best friend Josh, who was always there for me when no one was, who taught me how to swim through deeper waters and how to stand when you have no strength left in your limbs.

I also dedicate this dissertation to my therapist, Mr.Henry Neilson, who was always there through thick and thin. He made me realise that ups and downs are inevitable in life. You have to accept both sides in order to make peace with yourself and with the world.

Finally, I dedicate this dissertation to God Almighty, who granted me all my strengths and weaknesses, all sickness and health, and all happiness and sorrow.


I dedicate this dissertation to my parents, Henry Alwyn and Taylor Hathaway, who were always there for me every step of the way. Their advice of resilience and hard work made me believe I can do and achieve everything in my life if I am determined and believe in myself. To my brother Abernathy, who always made me laugh with his silly jokes and made me realise that whatever happens in life, the most powerful move that you can make is to smile. I also dedicate this dissertation to my talented sister Catherine, who taught me that creativity is within you; you just have to pull it out by using her exquisite textile designs. I also dedicate this dissertation to my best friend and colleague, Elijah Benjamin, who embodies true devotion and love for his work. He believed perfection is not about controlling something; it’s about letting go. Last but not least, to my girlfriend Emily, who was there to love me, pamper me, and provide her gentle touch and warmth. I love you, darling.

I dedicate this dissertation to my parents, Henry Alwyn and Taylor Hathaway, who were always there for me every step of the way. Their advice of resilience and hard work made me believe I can do and achieve everything in my life if I am determined and believe in myself. To my brother Abernathy, who always made me laugh with his silly jokes and made me realise that whatever happens in life, the most powerful move that you can make is to smile.

I also dedicate this dissertation to my talented sister Catherine, who taught me that creativity is within you; you just have to pull it out by using her exquisite textile designs.

I also dedicate this dissertation to my best friend and colleague, Elijah Benjamin, who embodies true devotion and love for his work. He believed perfection is not about controlling something; it’s about letting go.

Last but not least, to my girlfriend Emily, who was there to love me, pamper me, and provide her gentle touch and warmth. I love you, darling.

Frequently Asked Questions

Can i dedicate my dissertation to someone.

Yes, you can dedicate your dissertation to someone by naming and describing their part in supporting and completing your research process .

How to write a dedication for a dissertation?

Choose the Person
Describe the Person
Name the Person

How much time should I dedicate to the dissertation?

You should dedicate 300-400 hours to a dissertation

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Knowledge Base
Dissertation

How to Write a Dissertation or Thesis Proposal

Published on September 21, 2022 by Tegan George . Revised on July 18, 2023.

When starting your thesis or dissertation process, one of the first requirements is a research proposal or a prospectus. It describes what or who you want to examine, delving into why, when, where, and how you will do so, stemming from your research question and a relevant topic .

The proposal or prospectus stage is crucial for the development of your research. It helps you choose a type of research to pursue, as well as whether to pursue qualitative or quantitative methods and what your research design will look like.

You can download our templates in the format of your choice below.

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What should your proposal contain, dissertation question examples, what should your proposal look like, dissertation prospectus examples, other interesting articles, frequently asked questions about proposals.

Prior to jumping into the research for your thesis or dissertation, you first need to develop your research proposal and have it approved by your supervisor. It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives .

Depending on your department’s requirements, there may be a defense component involved, where you present your research plan in prospectus format to your committee for their approval.

Your proposal should answer the following questions:

Why is your research necessary?
What is already known about your topic?
Where and when will your research be conducted?
Who should be studied?
How can the research best be done?

Ultimately, your proposal should persuade your supervisor or committee that your proposed project is worth pursuing.

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Strong research kicks off with a solid research question , and dissertations are no exception to this.

Dissertation research questions should be:

Focused on a single problem or issue
Researchable using primary and/or secondary sources
Feasible to answer within the timeframe and practical constraints
Specific enough to answer thoroughly
Complex enough to develop the answer over the space of a paper or thesis
Relevant to your field of study and/or society more broadly
What are the main factors enticing people under 30 in suburban areas to engage in the gig economy?
Which techniques prove most effective for 1st-grade teachers at local elementary schools in engaging students with special needs?
Which communication streams are the most effective for getting those aged 18-30 to the polls on Election Day?

An easy rule of thumb is that your proposal will usually resemble a (much) shorter version of your thesis or dissertation. While of course it won’t include the results section , discussion section , or conclusion , it serves as a “mini” version or roadmap for what you eventually seek to write.

Be sure to include:

A succinct introduction to your topic and problem statement
A brief literature review situating your topic within existing research
A basic outline of the research methods you think will best answer your research question
The perceived implications for future research
A reference list in the citation style of your choice

The length of your proposal varies quite a bit depending on your discipline and type of work you’re conducting. While a thesis proposal is often only 3-7 pages long, a prospectus for your dissertation is usually much longer, with more detailed analysis. Dissertation proposals can be up to 25-30 pages in length.

Writing a proposal or prospectus can be a challenge, but we’ve compiled some examples for you to get your started.

Example #1: “Geographic Representations of the Planet Mars, 1867-1907” by Maria Lane
Example #2: “Individuals and the State in Late Bronze Age Greece: Messenian Perspectives on Mycenaean Society” by Dimitri Nakassis
Example #3: “Manhood Up in the Air: A Study of Male Flight Attendants, Queerness, and Corporate Capitalism during the Cold War Era” by Phil Tiemeyer

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!

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

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

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

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

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

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

The priorities of a research design can vary depending on the field, but you usually have to specify:

Your research questions and/or hypotheses
Your overall approach (e.g., qualitative or quantitative )
The type of design you’re using (e.g., a survey , experiment , or case study )
Your sampling methods or criteria for selecting subjects
Your data collection methods (e.g., questionnaires , observations)
Your data collection procedures (e.g., operationalization , timing and data management)
Your data analysis methods (e.g., statistical tests or thematic analysis )

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

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

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

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

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

Researchability
Feasibility and specificity
Relevance and originality

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, July 18). How to Write a Dissertation or Thesis Proposal. Scribbr. Retrieved September 2, 2024, from https://www.scribbr.com/dissertation/thesis-dissertation-proposal/

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How To Write The Discussion Chapter

A Simple Explainer With Examples + Free Template

By: Jenna Crossley (PhD) | Reviewed By: Dr. Eunice Rautenbach | August 2021

If you’re reading this, chances are you’ve reached the discussion chapter of your thesis or dissertation and are looking for a bit of guidance. Well, you’ve come to the right place ! In this post, we’ll unpack and demystify the typical discussion chapter in straightforward, easy to understand language, with loads of examples .

Overview: The Discussion Chapter

What the discussion chapter is
What to include in your discussion
How to write up your discussion
A few tips and tricks to help you along the way
Free discussion template

What (exactly) is the discussion chapter?

The discussion chapter is where you interpret and explain your results within your thesis or dissertation. This contrasts with the results chapter, where you merely present and describe the analysis findings (whether qualitative or quantitative ). In the discussion chapter, you elaborate on and evaluate your research findings, and discuss the significance and implications of your results .

In this chapter, you’ll situate your research findings in terms of your research questions or hypotheses and tie them back to previous studies and literature (which you would have covered in your literature review chapter). You’ll also have a look at how relevant and/or significant your findings are to your field of research, and you’ll argue for the conclusions that you draw from your analysis. Simply put, the discussion chapter is there for you to interact with and explain your research findings in a thorough and coherent manner.

Free template for discussion or thesis discussion section

What should I include in the discussion chapter?

First things first: in some studies, the results and discussion chapter are combined into one chapter . This depends on the type of study you conducted (i.e., the nature of the study and methodology adopted), as well as the standards set by the university. So, check in with your university regarding their norms and expectations before getting started. In this post, we’ll treat the two chapters as separate, as this is most common.

Basically, your discussion chapter should analyse , explore the meaning and identify the importance of the data you presented in your results chapter. In the discussion chapter, you’ll give your results some form of meaning by evaluating and interpreting them. This will help answer your research questions, achieve your research aims and support your overall conclusion (s). Therefore, you discussion chapter should focus on findings that are directly connected to your research aims and questions. Don’t waste precious time and word count on findings that are not central to the purpose of your research project.

As this chapter is a reflection of your results chapter, it’s vital that you don’t report any new findings . In other words, you can’t present claims here if you didn’t present the relevant data in the results chapter first. So, make sure that for every discussion point you raise in this chapter, you’ve covered the respective data analysis in the results chapter. If you haven’t, you’ll need to go back and adjust your results chapter accordingly.

If you’re struggling to get started, try writing down a bullet point list everything you found in your results chapter. From this, you can make a list of everything you need to cover in your discussion chapter. Also, make sure you revisit your research questions or hypotheses and incorporate the relevant discussion to address these. This will also help you to see how you can structure your chapter logically.

Need a helping hand?

How to write the discussion chapter

Now that you’ve got a clear idea of what the discussion chapter is and what it needs to include, let’s look at how you can go about structuring this critically important chapter. Broadly speaking, there are six core components that need to be included, and these can be treated as steps in the chapter writing process.

Step 1: Restate your research problem and research questions

The first step in writing up your discussion chapter is to remind your reader of your research problem , as well as your research aim(s) and research questions . If you have hypotheses, you can also briefly mention these. This “reminder” is very important because, after reading dozens of pages, the reader may have forgotten the original point of your research or been swayed in another direction. It’s also likely that some readers skip straight to your discussion chapter from the introduction chapter , so make sure that your research aims and research questions are clear.

Step 2: Summarise your key findings

Next, you’ll want to summarise your key findings from your results chapter. This may look different for qualitative and quantitative research , where qualitative research may report on themes and relationships, whereas quantitative research may touch on correlations and causal relationships. Regardless of the methodology, in this section you need to highlight the overall key findings in relation to your research questions.

Typically, this section only requires one or two paragraphs , depending on how many research questions you have. Aim to be concise here, as you will unpack these findings in more detail later in the chapter. For now, a few lines that directly address your research questions are all that you need.

Some examples of the kind of language you’d use here include:

The data suggest that…
The data support/oppose the theory that…
The analysis identifies…

These are purely examples. What you present here will be completely dependent on your original research questions, so make sure that you are led by them .

Step 3: Interpret your results

Once you’ve restated your research problem and research question(s) and briefly presented your key findings, you can unpack your findings by interpreting your results. Remember: only include what you reported in your results section – don’t introduce new information.

From a structural perspective, it can be a wise approach to follow a similar structure in this chapter as you did in your results chapter. This would help improve readability and make it easier for your reader to follow your arguments. For example, if you structured you results discussion by qualitative themes, it may make sense to do the same here.

Alternatively, you may structure this chapter by research questions, or based on an overarching theoretical framework that your study revolved around. Every study is different, so you’ll need to assess what structure works best for you.

When interpreting your results, you’ll want to assess how your findings compare to those of the existing research (from your literature review chapter). Even if your findings contrast with the existing research, you need to include these in your discussion. In fact, those contrasts are often the most interesting findings . In this case, you’d want to think about why you didn’t find what you were expecting in your data and what the significance of this contrast is.

Here are a few questions to help guide your discussion:

How do your results relate with those of previous studies ?
If you get results that differ from those of previous studies, why may this be the case?
What do your results contribute to your field of research?
What other explanations could there be for your findings?

When interpreting your findings, be careful not to draw conclusions that aren’t substantiated . Every claim you make needs to be backed up with evidence or findings from the data (and that data needs to be presented in the previous chapter – results). This can look different for different studies; qualitative data may require quotes as evidence, whereas quantitative data would use statistical methods and tests. Whatever the case, every claim you make needs to be strongly backed up.

Step 4: Acknowledge the limitations of your study

The fourth step in writing up your discussion chapter is to acknowledge the limitations of the study. These limitations can cover any part of your study , from the scope or theoretical basis to the analysis method(s) or sample. For example, you may find that you collected data from a very small sample with unique characteristics, which would mean that you are unable to generalise your results to the broader population.

For some students, discussing the limitations of their work can feel a little bit self-defeating . This is a misconception, as a core indicator of high-quality research is its ability to accurately identify its weaknesses. In other words, accurately stating the limitations of your work is a strength, not a weakness . All that said, be careful not to undermine your own research. Tell the reader what limitations exist and what improvements could be made, but also remind them of the value of your study despite its limitations.

Step 5: Make recommendations for implementation and future research

Now that you’ve unpacked your findings and acknowledge the limitations thereof, the next thing you’ll need to do is reflect on your study in terms of two factors:

The practical application of your findings
Suggestions for future research

The first thing to discuss is how your findings can be used in the real world – in other words, what contribution can they make to the field or industry? Where are these contributions applicable, how and why? For example, if your research is on communication in health settings, in what ways can your findings be applied to the context of a hospital or medical clinic? Make sure that you spell this out for your reader in practical terms, but also be realistic and make sure that any applications are feasible.

The next discussion point is the opportunity for future research . In other words, how can other studies build on what you’ve found and also improve the findings by overcoming some of the limitations in your study (which you discussed a little earlier). In doing this, you’ll want to investigate whether your results fit in with findings of previous research, and if not, why this may be the case. For example, are there any factors that you didn’t consider in your study? What future research can be done to remedy this? When you write up your suggestions, make sure that you don’t just say that more research is needed on the topic, also comment on how the research can build on your study.

Step 6: Provide a concluding summary

Finally, you’ve reached your final stretch. In this section, you’ll want to provide a brief recap of the key findings – in other words, the findings that directly address your research questions . Basically, your conclusion should tell the reader what your study has found, and what they need to take away from reading your report.

When writing up your concluding summary, bear in mind that some readers may skip straight to this section from the beginning of the chapter. So, make sure that this section flows well from and has a strong connection to the opening section of the chapter.

Tips and tricks for an A-grade discussion chapter

Now that you know what the discussion chapter is , what to include and exclude , and how to structure it , here are some tips and suggestions to help you craft a quality discussion chapter.

When you write up your discussion chapter, make sure that you keep it consistent with your introduction chapter , as some readers will skip from the introduction chapter directly to the discussion chapter. Your discussion should use the same tense as your introduction, and it should also make use of the same key terms.
Don’t make assumptions about your readers. As a writer, you have hands-on experience with the data and so it can be easy to present it in an over-simplified manner. Make sure that you spell out your findings and interpretations for the intelligent layman.
Have a look at other theses and dissertations from your institution, especially the discussion sections. This will help you to understand the standards and conventions of your university, and you’ll also get a good idea of how others have structured their discussion chapters. You can also check out our chapter template .
Avoid using absolute terms such as “These results prove that…”, rather make use of terms such as “suggest” or “indicate”, where you could say, “These results suggest that…” or “These results indicate…”. It is highly unlikely that a dissertation or thesis will scientifically prove something (due to a variety of resource constraints), so be humble in your language.
Use well-structured and consistently formatted headings to ensure that your reader can easily navigate between sections, and so that your chapter flows logically and coherently.

If you have any questions or thoughts regarding this post, feel free to leave a comment below. Also, if you’re looking for one-on-one help with your discussion chapter (or thesis in general), consider booking a free consultation with one of our highly experienced Grad Coaches to discuss how we can help you.

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 ...

38 Comments

Thank you this is helpful!

This is very helpful to me… Thanks a lot for sharing this with us 😊

This has been very helpful indeed. Thank you.

This is actually really helpful, I just stumbled upon it. Very happy that I found it, thank you.

Me too! I was kinda lost on how to approach my discussion chapter. How helpful! Thanks a lot!

This is really good and explicit. Thanks

Thank you, this blog has been such a help.

Thank you. This is very helpful.

Dear sir/madame

Thanks a lot for this helpful blog. Really, it supported me in writing my discussion chapter while I was totally unaware about its structure and method of writing.

With regards

Syed Firoz Ahmad PhD, Research Scholar

I agree so much. This blog was god sent. It assisted me so much while I was totally clueless about the context and the know-how. Now I am fully aware of what I am to do and how I am to do it.

Thanks! This is helpful!

thanks alot for this informative website

Dear Sir/Madam,

Truly, your article was much benefited when i structured my discussion chapter.

Thank you very much!!!

This is helpful for me in writing my research discussion component. I have to copy this text on Microsoft word cause of my weakness that I cannot be able to read the text on screen a long time. So many thanks for this articles.

This was helpful

Thanks Jenna, well explained.

Thank you! This is super helpful.

Thanks very much. I have appreciated the six steps on writing the Discussion chapter which are (i) Restating the research problem and questions (ii) Summarising the key findings (iii) Interpreting the results linked to relating to previous results in positive and negative ways; explaining whay different or same and contribution to field of research and expalnation of findings (iv) Acknowledgeing limitations (v) Recommendations for implementation and future resaerch and finally (vi) Providing a conscluding summary

My two questions are: 1. On step 1 and 2 can it be the overall or you restate and sumamrise on each findings based on the reaerch question? 2. On 4 and 5 do you do the acknowlledgement , recommendations on each research finding or overall. This is not clear from your expalanattion.

Please respond.

This post is very useful. I’m wondering whether practical implications must be introduced in the Discussion section or in the Conclusion section?

This is very instructive and educative

Sigh, I never knew a 20 min video could have literally save my life like this. I found this at the right time!!!! Everything I need to know in one video thanks a mil ! OMGG and that 6 step!!!!!! was the cherry on top the cake!!!!!!!!!

Thanks alot.., I have gained much

This piece is very helpful on how to go about my discussion section. I can always recommend GradCoach research guides for colleagues.

Many thanks for this resource. It has been very helpful to me. I was finding it hard to even write the first sentence. Much appreciated.

Thanks so much. Very helpful to know what is included in the discussion section

this was a very helpful and useful information

This is very helpful. Very very helpful. Thanks for sharing this online!

it is very helpfull article, and i will recommend it to my fellow students. Thank you.

Superlative! More grease to your elbows.

Powerful, thank you for sharing.

Wow! Just wow! God bless the day I stumbled upon you guys’ YouTube videos! It’s been truly life changing and anxiety about my report that is due in less than a month has subsided significantly!

Simplified explanation. Well done.

The presentation is enlightening. Thank you very much.

Thanks for the support and guidance

This has been a great help to me and thank you do much

I second that “it is highly unlikely that a dissertation or thesis will scientifically prove something”; although, could you enlighten us on that comment and elaborate more please?

Sure, no problem.

Scientific proof is generally considered a very strong assertion that something is definitively and universally true. In most scientific disciplines, especially within the realms of natural and social sciences, absolute proof is very rare. Instead, researchers aim to provide evidence that supports or rejects hypotheses. This evidence increases or decreases the likelihood that a particular theory is correct, but it rarely proves something in the absolute sense.

Dissertations and theses, as substantial as they are, typically focus on exploring a specific question or problem within a larger field of study. They contribute to a broader conversation and body of knowledge. The aim is often to provide detailed insight, extend understanding, and suggest directions for further research rather than to offer definitive proof. These academic works are part of a cumulative process of knowledge building where each piece of research connects with others to gradually enhance our understanding of complex phenomena.

Furthermore, the rigorous nature of scientific inquiry involves continuous testing, validation, and potential refutation of ideas. What might be considered a “proof” at one point can later be challenged by new evidence or alternative interpretations. Therefore, the language of “proof” is cautiously used in academic circles to maintain scientific integrity and humility.

This was very helpful, thank you!

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IMAGES

Guide on How to Write Result Section of Dissertation
How to Write a Dissertation Conclusion with Examples
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COMMENTS

How to Write a Results Section
How to Write a Results Section | Tips & Examples. Published on August 30, 2022 by Tegan George. Revised on July 18, 2023. A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation. You should report all relevant results concisely and objectively, in a logical order.
Dissertation Results/Findings Chapter (Quantitative)
The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you've found in terms of the quantitative data you've collected. It presents the data using a clear text narrative, supported by tables, graphs and charts.
How to Write a Results Section
How to Write a Results Section | Tips & Examples. Published on 27 October 2016 by Bas Swaen. Revised on 25 October 2022 by Tegan George. A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation. You should report all relevant results concisely and objectively, in a ...
How to Write the Dissertation Findings or Results
If not, we can help. Our panel of experts makes sure to keep the 3 pillars of the Dissertation strong. 1. Reporting Quantitative Findings. The best way to present your quantitative findings is to structure them around the research hypothesis or questions you intend to address as part of your dissertation project.
How to Write a Dissertation Results Section
The results section is where you report the main findings of your research. Watch this video to learn how to report your results concisely and objectively in...
How to Write the Results Section of your Dissertation?
Choose the appropriate visual format: Select the most suitable format, such as tables, line graphs, scatter plots, or heatmaps, based on the nature of the data and the message you want to convey. b. Simplify and declutter: Avoid overwhelming the visuals with excessive data points, labels, or unnecessary decorations.
Dissertation Results & Findings Chapter (Qualitative)
The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and ...
Reporting Research Results in APA Style
Address the primary and secondary research questions by reporting the detailed results of your main analyses. Results of subgroup or exploratory analyses, if applicable. Place detailed results in supplementary materials. Write up the results in the past tense because you're describing the outcomes of a completed research study.
Dissertation Writing: Results and Discussion
Summarise your results in the text, drawing on the figures and tables to illustrate your points. The text and figures should be complementary, not repeat the same information. You should refer to every table or figure in the text. Any that you don't feel the need to refer to can safely be moved to an appendix, or even removed.
What Is a Dissertation?
A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...
Results and Discussion
Guide contents. As part of the Writing the Dissertation series, this guide covers the most common conventions of the results and discussion chapters, giving you the necessary knowledge, tips and guidance needed to impress your markers! The sections are organised as follows: The Difference - Breaks down the distinctions between the results and discussion chapters.
How to Write an Impressive Thesis Results Section
Include all relevant results as text, tables, or figures. Report the results of subject recruitment and data collection. For qualitative research, present the data from all statistical analyses, whether or not the results are significant. For quantitative research, present the data by coding or categorizing themes and topics.
Research Results Section
Research results refer to the findings and conclusions derived from a systematic investigation or study conducted to answer a specific question or hypothesis. These results are typically presented in a written report or paper and can include various forms of data such as numerical data, qualitative data, statistics, charts, graphs, and visual aids.
How To Write A Dissertation Or Thesis
Craft a convincing dissertation or thesis research proposal. Write a clear, compelling introduction chapter. Undertake a thorough review of the existing research and write up a literature review. Undertake your own research. Present and interpret your findings. Draw a conclusion and discuss the implications.
How to Write a Results Section: Definition, Tips & Examples
The easiest way to write a quantitative dissertation results section is to build it around a sub-question or hypothesis of your research. For each subquery, provide relevant results and include statistical analysis. Then briefly evaluate importance & reliability.
The Results Section of a Dissertation
The purpose of the results section is to present findings in a logical, objective, and impartial manner. At this stage, you do not include your interpretation as a researcher or discuss the implications of the research. Observations that you make, as a researcher, are better suited for the next few chapters. In other words, you simply present ...
Writing a Dissertation: A Complete Guide
A dissertation is a lengthy research paper written as a requirement to earn an academic degree. Typically, students must write a dissertation toward the end of their program to both prove their knowledge and contribute new research to their field. The term dissertation is sometimes used interchangeably with thesis paper.
PDF Results Section for Research Papers
The results section of a research paper tells the reader what you found, while the discussion section tells the reader what your findings mean. The results section should present the facts in an academic and unbiased manner, avoiding any attempt at analyzing or interpreting the data. Think of the results section as setting the stage for the ...
Dissertation Results Chapter 101: Quantitative Methodology Studies
Learn how to craft a rock-solid results chapter/section for your quantitative dissertation, thesis or research project. We explain each section of the typica...
How to Write a Dissertation
The structure of a dissertation depends on your field, but it is usually divided into at least four or five chapters (including an introduction and conclusion chapter). The most common dissertation structure in the sciences and social sciences includes: An introduction to your topic. A literature review that surveys relevant sources.
Dissertation/Thesis Results Template (Word Doc
The fastest (and smartest) way to craft a strong results section for your dissertation, thesis or research project. Available in Google Doc, Word & PDF format 4.9 star rating, ... Doctoral-level projects typically require a lengthier write-up, but the structure will typically remain the same. Again, be sure to check your university's ...
How to Write a Dissertation Dedication
Example 1: DEDICATION. I dedicate this dissertation to my beloved family. I love you all too much. I especially thank and appreciate my parents, Martha and George Johansson, who supported me in this course and made me believe that I dream well and I can achieve well.
How to Write a Dissertation or Thesis Proposal
When starting your thesis or dissertation process, one of the first requirements is a research proposal or a prospectus. It describes what or who you want to examine, delving into why, when, where, and how you will do so, stemming from your research question and a relevant topic. The proposal or prospectus stage is crucial for the development ...
How To Write A Dissertation Discussion Chapter
Step 4: Acknowledge the limitations of your study. The fourth step in writing up your discussion chapter is to acknowledge the limitations of the study. These limitations can cover any part of your study, from the scope or theoretical basis to the analysis method (s) or sample.

How to Write the Results Section of your Dissertation or Thesis?

Introduction

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Writing your Dissertation: Results and Discussion

Results Section

Discussion Section

Starting the Task

Fleshing Out the Detail

The Importance of Understanding Differences

Writing the Dissertation - Guides for Success: Results and Discussion

Overview of writing the results and discussion

Disciplinary differences

Guide contents

Training and tools

Introduction

Results or discussion - what's the difference?

Writing the results

Tables and figures

Using quotations

Writing the discussion

A note on the three-part structure

Using secondary literature

Limitations

Recommendations

What to avoid

Over-reliance on tables and figures

Ignoring unexpected or contradictory data

Including raw data

Presenting new results in the discussion

Overstressing the significance of your research

Q: What’s the difference between the results and discussion?

Q: Should the discussion include recommendations for future research?

Q: Should the discussion include the limitations of the study?

Q: Should the results and discussion be in the first-person or third?

Q: Is there a difference between the discussion and the conclusion of a dissertation?

How to Write an Impressive Thesis Results Section

What is the thesis results section?

What should the thesis results section include?

What should the thesis results section not include?

How should the thesis results section be organized?

Differences among the results section in different fields of research

Differences between reporting thesis results in the Sciences and the Humanities and Social Sciences (HSS) domains

Best practices for using tables and figures

General guidelines for figures and tables

Figure guidelines

Table guidelines

Tips for writing the thesis results section

Results vs. discussion vs. conclusion

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Research Results Section – Writing Guide and Examples

Research Results

Results Section in Research

Structure of Research Results Section

Outline of Research Results Section

Example of Research Results Section

Importance of Research Results

How to Write Results in A Research Paper

When to Write Research Results

Purpose of Research Results

Advantages of Research Results

About the author

Muhammad Hassan

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