dissertation findings and discussion

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.

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

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• Last Updated: Dec 4, 2024 11:30 AM
• URL: https://library.soton.ac.uk/writing_the_dissertation

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How to Write the Dissertation Findings or Results – Tips

Published by Grace Graffin at August 11th, 2021 , Revised On August 13, 2024

Each  part of the dissertation is unique, and some general and specific rules must be followed. The dissertation’s findings section presents the key results of your research without interpreting their meaning .

Theoretically, this is an exciting section of a dissertation because it involves writing what you have observed and found. However, it can be a little tricky if there is too much information to confuse the readers.

The goal is to include only the essential and relevant findings in this section. The results must be presented in an orderly sequence to provide clarity to the readers.

This section of the dissertation should be easy for the readers to follow, so you should avoid going into a lengthy debate over the interpretation of the results.

It is vitally important to focus only on clear and precise observations. The findings chapter of the  dissertation  is theoretically the easiest to write.

It includes  statistical analysis and a brief write-up about whether or not the results emerging from the analysis are significant. This segment should be written in the past sentence as you describe what you have done in the past.

This article will provide detailed information about  how to   write the findings of a dissertation .

When to Write Dissertation Findings Chapter

As soon as you have gathered and analysed your data, you can start to write up the findings chapter of your dissertation paper. Remember that it is your chance to report the most notable findings of your research work and relate them to the research hypothesis  or  research questions set out in  the introduction chapter of the dissertation .

You will be required to separately report your study’s findings before moving on to the discussion chapter  if your dissertation is based on the  collection of primary data  or experimental work.

However, you may not be required to have an independent findings chapter if your dissertation is purely descriptive and focuses on the analysis of case studies or interpretation of texts.

• Always report the findings of your research in the past tense.
• The dissertation findings chapter varies from one project to another, depending on the data collected and analyzed.
• Avoid reporting results that are not relevant to your research questions or research hypothesis.

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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.

Report the relevant findings for each research question or hypothesis, focusing on how you analyzed them.

Analysis of your findings will help you determine how they relate to the different research questions and whether they support the hypothesis you formulated.

While you must highlight meaningful relationships, variances, and tendencies, it is important not to guess their interpretations and implications because this is something to save for the discussion  and  conclusion  chapters.

Any findings not directly relevant to your research questions or explanations concerning the data collection process  should be added to the dissertation paper’s appendix section.

Use of Figures and Tables in Dissertation Findings

Suppose your dissertation is based on quantitative research. In that case, it is important to include charts, graphs, tables, and other visual elements to help your readers understand the emerging trends and relationships in your findings.

Repeating information will give the impression that you are short on ideas. Refer to all charts, illustrations, and tables in your writing but avoid recurrence.

The text should be used only to elaborate and summarize certain parts of your results. On the other hand, illustrations and tables are used to present multifaceted data.

It is recommended to give descriptive labels and captions to all illustrations used so the readers can figure out what each refers to.

How to Report Quantitative Findings

Here is an example of how to report quantitative results in your dissertation findings chapter;

Two hundred seventeen participants completed both the pretest and post-test and a Pairwise T-test was used for the analysis. The quantitative data analysis reveals a statistically significant difference between the mean scores of the pretest and posttest scales from the Teachers Discovering Computers course. The pretest mean was 29.00 with a standard deviation of 7.65, while the posttest mean was 26.50 with a standard deviation of 9.74 (Table 1). These results yield a significance level of .000, indicating a strong treatment effect (see Table 3). With the correlation between the scores being .448, the little relationship is seen between the pretest and posttest scores (Table 2). This leads the researcher to conclude that the impact of the course on the educators’ perception and integration of technology into the curriculum is dramatic.

Paired Samples

Paired samples correlation, paired samples test.

Also Read: How to Write the Abstract for the Dissertation.

2. Reporting Qualitative Findings

A notable issue with reporting qualitative findings is that not all results directly relate to your research questions or hypothesis.

The best way to present the results of qualitative research is to frame your findings around the most critical areas or themes you obtained after you examined the data.

In-depth data analysis will help you observe what the data shows for each theme. Any developments, relationships, patterns, and independent responses directly relevant to your research question or hypothesis should be mentioned to the readers.

Additional information not directly relevant to your research can be included in the appendix .

How to Report Qualitative Findings

Here is an example of how to report qualitative results in your dissertation findings chapter;

The last question of the interview focused on the need for improvement in Thai ready-to-eat products and the industry at large, emphasizing the need for enhancement in the current products being offered in the market. When asked if there was any particular need for Thai ready-to-eat meals to be improved and how to improve them in case of ‘yes,’ the males replied mainly by saying that the current products need improvement in terms of the use of healthier raw materials and preservatives or additives. There was an agreement amongst all males concerning the need to improve the industry for ready-to-eat meals and the use of more healthy items to prepare such meals. The females were also of the opinion that the fast-food items needed to be improved in the sense that more healthy raw materials such as vegetable oil and unsaturated fats, including whole-wheat products, to overcome risks associated with trans fat leading to obesity and hypertension should be used for the production of RTE products. The frozen RTE meals and packaged snacks included many preservatives and chemical-based flavouring enhancers that harmed human health and needed to be reduced. The industry is said to be aware of this fact and should try to produce RTE products that benefit the community in terms of healthy consumption.

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What to Avoid in Dissertation Findings Chapter

• Avoid using interpretive and subjective phrases and terms such as “confirms,” “reveals,” “suggests,” or “validates.” These terms are more suitable for the discussion chapter , where you will be expected to interpret the results in detail.
• Only briefly explain findings in relation to the key themes, hypothesis, and research questions. You don’t want to write a detailed subjective explanation for any research questions at this stage.

The Do’s of Writing the Findings or Results Section

• Ensure you are not presenting results from other research studies in your findings.
• Observe whether or not your hypothesis is tested or research questions answered.
• Illustrations and tables present data and are labelled to help your readers understand what they relate to.
• Use software such as Excel, STATA, and SPSS to analyse results and important trends.

Essential Guidelines on How to Write Dissertation Findings

The dissertation findings chapter should provide the context for understanding the results. The research problem should be repeated, and the research goals should be stated briefly.

This approach helps to gain the reader’s attention toward the research problem. The first step towards writing the findings is identifying which results will be presented in this section.

The results relevant to the questions must be presented, considering whether the results support the hypothesis. You do not need to include every result in the findings section. The next step is ensuring the data can be appropriately organized and accurate.

You will need to have a basic idea about writing the findings of a dissertation because this will provide you with the knowledge to arrange the data chronologically.

Start each paragraph by writing about the most important results and concluding the section with the most negligible actual results.

A short paragraph can conclude the findings section, summarising the findings so readers will remember as they transition to the next chapter. This is essential if findings are unexpected or unfamiliar or impact the study.

Our writers can help you with all parts of your dissertation, including statistical analysis of your results . To obtain free non-binding quotes, please complete our online quote form here .

Be Impartial in your Writing

When crafting your findings, knowing how you will organize the work is important. The findings are the story that needs to be told in response to the research questions that have been answered.

Therefore, the story needs to be organized to make sense to you and the reader. The findings must be compelling and responsive to be linked to the research questions being answered.

Always ensure that the size and direction of any changes, including percentage change, can be mentioned in the section. The details of p values or confidence intervals and limits should be included.

The findings sections only have the relevant parts of the primary evidence mentioned. Still, it is a good practice to include all the primary evidence in an appendix that can be referred to later.

The results should always be written neutrally without speculation or implication. The statement of the results mustn’t have any form of evaluation or interpretation.

Negative results should be added in the findings section because they validate the results and provide high neutrality levels.

The length of the dissertation findings chapter is an important question that must be addressed. It should be noted that the length of the section is directly related to the total word count of your dissertation paper.

The writer should use their discretion in deciding the length of the findings section or refer to the dissertation handbook or structure guidelines.

It should neither belong nor be short nor concise and comprehensive to highlight the reader’s main findings.

Ethically, you should be confident in the findings and provide counter-evidence. Anything that does not have sufficient evidence should be discarded. The findings should respond to the problem presented and provide a solution to those questions.

Structure of the Findings Chapter

The chapter should use appropriate words and phrases to present the results to the readers. Logical sentences should be used, while paragraphs should be linked to produce cohesive work.

You must ensure all the significant results have been added in the section. Recheck after completing the section to ensure no mistakes have been made.

The structure of the findings section is something you may have to be sure of primarily because it will provide the basis for your research work and ensure that the discussions section can be written clearly and proficiently.

One way to arrange the results is to provide a brief synopsis and then explain the essential findings. However, there should be no speculation or explanation of the results, as this will be done in the discussion section.

Another way to arrange the section is to present and explain a result. This can be done for all the results while the section is concluded with an overall synopsis.

This is the preferred method when you are writing more extended dissertations. It can be helpful when multiple results are equally significant. A brief conclusion should be written to link all the results and transition to the discussion section.

Numerous data analysis dissertation examples are available on the Internet, which will help you improve your understanding of writing the dissertation’s findings.

Problems to Avoid When Writing Dissertation Findings

One of the problems to avoid while writing the dissertation findings is reporting background information or explaining the findings. This should be done in the introduction section .

You can always revise the introduction chapter based on the data you have collected if that seems an appropriate thing to do.

Raw data or intermediate calculations should not be added in the findings section. Always ask your professor if raw data needs to be included.

If the data is to be included, then use an appendix or a set of appendices referred to in the text of the findings chapter.

Do not use vague or non-specific phrases in the findings section. It is important to be factual and concise for the reader’s benefit.

The findings section presents the crucial data collected during the research process. It should be presented concisely and clearly to the reader. There should be no interpretation, speculation, or analysis of the data.

The significant results should be categorized systematically with the text used with charts, figures, and tables. Furthermore, avoiding using vague and non-specific words in this section is essential.

It is essential to label the tables and visual material properly. You should also check and proofread the section to avoid mistakes.

The dissertation findings chapter is a critical part of your overall dissertation paper. If you struggle with presenting your results and statistical analysis, our expert dissertation writers can help you get things right. Whether you need help with the entire dissertation paper or individual chapters, our dissertation experts can provide customized dissertation support .

FAQs About Findings of a Dissertation

How do i report quantitative findings.

The best way to present your quantitative findings is to structure them around the research hypothesis or research questions you intended to address as part of your dissertation project. Report the relevant findings for each of the research questions or hypotheses, focusing on how you analyzed them.

How do I report qualitative findings?

The best way to present the qualitative research results is to frame your findings around the most important areas or themes that you obtained after examining the data.

An in-depth analysis of the data will help you observe what the data is showing for each theme. Any developments, relationships, patterns, and independent responses that are directly relevant to your research question or hypothesis should be clearly mentioned for the readers.

Can I use interpretive phrases like ‘it confirms’ in the finding chapter?

No, It is highly advisable to avoid using interpretive and subjective phrases in the finding chapter. These terms are more suitable for the discussion chapter , where you will be expected to provide your interpretation of the results in detail.

Can I report the results from other research papers in my findings chapter?

NO, you must not be presenting results from other research studies in your findings.

You May Also Like

Not sure how to start your dissertation and get it right the first time? Here are some tips and guidelines for you to kick start your dissertation project.

Your dissertation introduction chapter provides detailed information on the research problem, significance of research, and research aim & objectives.

Writing a dissertation can be tough if this is the first time you are doing it. You need to look into relevant literature, analyze past researches, conduct surveys, interviews etc.

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How to Write a Dissertation Discussion Chapter: Guide & Examples

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Dissertation discussion section is a chapter that interprets the results obtained from research and offers an in-depth analysis of findings. In this section, students need to analyze the outcomes, evaluate their significance, and compare them to previous research. The discussion section may also explore the limitations of the study and suggest further research perspectives.

If you are stuck with your thesis or dissertation discussion chapter, you are in the right place to complete this section successfully. This article will outline our best solutions and methods on how to write the discussion of a dissertation or thesis. We also will share advanced dissertation discussion examples to help you finalize your PhD work.  Feel like academic writing gives you hassles? Remember that you can always rely on academic experts qualified in your field to get professional dissertation help online .

What Is a Dissertation Discussion?

First and foremost, students need to have a clear understanding of what dissertation discussion is. This is not the same as your results section , where you share data from your research. You are going deeper into the explanation of the existing data in your thesis or dissertation discussion section. In other words, you illustrate practical implications of your research and how the data can be used, researched further, or limited.  What will make your discussion section of a dissertation excellent:

• clear structure
• practical implication
• elaboration on future work on this topic.

This section should go after research methodology and before the dissertation conclusion . It should be directly relevant to questions posed in your introduction.  The biggest mistake you can make is to rewrite your result chapter with other words and add some limitations and recommendation paragraphs. However, this is an entirely different type of writing you need to complete.

Purpose of a Dissertation Discussion Chapter

A dissertation discussion section is critical to explaining students’ findings and the application of data to real-life cases. As we mentioned before, this section will often be read right after the dissertation methods . It evaluates and elaborates on findings and helps to understand the importance of your performed thesis research.  A dissertation discussion opens a new perspective on further research on the same field or topic. It also outlines critical data to consider in subsequent studies. In a nutshell, this is the section where you explain your work to a broad audience.

Structure of a Dissertation Discussion Section

Let’s start your writing journey of this research part with a clear delineation of what it should include and then briefly discuss each component. Here are some basic things you need to consider for an excellent discussion chapter of dissertation :

• Brief summary It does not mean copying an introduction section. However, the first few paragraphs will make an overview of your findings and topic.
• Interpretations This is a critical component of your work — elaborate on your results and explain possible ways of using them.
• Implication Research work is not just 100+ pages of text. Students should explain and illustrate how it could be used for solving practical problems.
• Constraints This is where you outline your limitations. For instance, your research was done only on students, and it may have different results with elderly people.
• Recommendations You can also define possible ways of future research on the exact topic when writing a discussion for your thesis or dissertation. Tell readers, for example, that it would be helpful to run similar research in other specific circumstances.

How to Write a Dissertation Discussion Chapter?

One of the most commonly asked questions for our experts is how to write the discussion section of a dissertation or thesis. We understand why it can be complicated to get a clear answer. Students often think that this section is similar to the result chapter and just retells it in other words. But it is not so. Let’s go through all steps to writing a discussion in a dissertation, and share our best examples from academic papers.

1. Remind Your Research Questions & Objectives

Writing the discussion chapter of a dissertation is not a big deal if you understand its aim and each component in a text structure. First of all, you need to evaluate how your results help to answer research questions you defined in the beginning. It is not about repeating the result, you did it in previous paragraphs.  However, dissertation or thesis discussion should underline how your findings help to answer the research problem. Start writing from a brief intro by recalling research questions or hypotheses . Then, show how your results answer them or support a hypothesis in your work.

2. Sum Up Key Findings

Next part of your discussion for dissertation is to provide a short summary of previous data. But do not respite the same summary paragraphs from results or introduction of a dissertation . Here researchers should be more thoughtful and go deeper into the work’s aims.  Try to explain in a few sentences what you get from running research. For instance, starters usually write the statement that “our data proves that…” or “survey results illustrate a clear correlation between a and b that is critical for proving our working hypothesis…”.  A discussion chapter of your dissertation is not just a fixation on results but a more profound summary connected to research goals and purpose. Here is an example: Summary of Findings Example

According to the data, implementing the co-orientation theory was successful and can be used for the same circumstances in the future. As we found, most participants agreed with the importance of those theses on the five fundamental reforms. It means that the results identified a successful government work in choosing the messages to communicate about examined reforms. At the same time, the situation is not so favorable with implementing the principles of two-way symmetrical communications. According to the results, people did not feel that the government had a mutual, open, and equal dialogue with the public about the reforms.

3. Interpret the Results

The most critical part of a discussion section is to explain and enact the results you’ve got. It is the most significant part of any text. Students should be clear about what to include in these paragraphs. Here is some advice to make this elaboration structured:

• Identify correlations or patterns in the data for dissertation discussion.
• Underline how results can answer research questions or prove your hypothesis.
• Emphasize how your findings are connected to the previous topic studies.
• Point out essential statements you can use in future research.
• Evaluate the significance of your results and any unexpected data you have.
• What others can learn from your research and how this work contributes to the field.
• Consider any possible additional or unique explanation of your findings.
• Go deeper with options of how results can be applied in practice.

Writing a dissertation discussion chapter can be tough, but here is a great sample to learn from. Example of Interpretations in Disssertation Discussion

Our study underlines the importance of future research on using TikTok for political communication. As discussed above, TikTok is the most commonly used social media platform for many young voters. This means that political discussion will also move to this platform. Our research and typology of political communication content can be used in the future planning of effective political campaigns. For example, we can assume that “play videos” have enormous potential to facilitate complicated topics and provide specific agenda settings. We also identified additional affordances of TikTok used for political communication, such as built-in video editors, playlists for specific topics, a green screen for news explainers, and duets for reflection on news and discussion. It means that these features make TikTok suitable for efficient political communications.

4. Discuss How Your Findings Relate to the Literature

Here we came to the implications of your findings for the dissertation discussion. In other words, this is a few sentences on how your work is connected to other studies on the same research topic or what literature gap you are going to fill with the data and research you launched. Remember to mention how your study address the limitations you have discovered while writing a literature review .  First, outline how your hypothesis relates to theories or previous works in the field. Maybe, you challenged some theories or tried to define your own. Be specific in this section. Second, define a practical implementation of your work. Maybe, it can support recommendations or change legislation.  Discussion chapter of a thesis is a place where you explain your work, make it valuable, and incorporate additional meaning for some specific data.  Example of Implications in Disssertation Discussion

As we pointed out in the literature review, there are few works on using TikTok affordances for political communications, and this topic can be expanded in the future. Government institutions have already understood the importance of this platform for efficient communication with younger audiences, and we will see more political projects on TikTok. That is why expanding research on using TikTok for political communication will be enormous in the following years. Our work is one of the first research on the role of emerging media in war communication and can be used as a practical guide for government's strategic planning in times of emergencies.

5. Mention Possible Limitations

It is pretty tricky to conduct research without limitations. You will always have some, which does not mean that your work is not good. When you write a discussion chapter in a thesis or dissertation, focus on what may influence your results and how changing independent variables can affect your data collection methods and final outcomes.  Here are some points to consider when you structure your dissertation discussion limitation part:

• If results can change in case you change the reference group?
• What will happen with data if it changes circumstances?
• What could influence results?

Critical thinking and analysis can help you to outline possible limitations. It can be the age of the reference group, change of questionnaire in a survey, or specific use of data extraction equipment. Be transparent about what could affect your results.  Example of Complications

Although this study has provided critical first insights into the effects of multimodal disinformation and rebuttals, there are some limitations. First and most importantly, the effects of multimodal disinformation and rebuttals partially depend on the topic of the message. Although fact-checkers reduce credibility of disinformation in both settings, and attitudinal congruence plays a consistent role in conditioning responses to multimodal disinformation, visuals do not have the same impact on affecting the credibility of news on school shootings and refugees.

6. Provide Recommendations for Further Research

Writing a dissertation discussion also makes a connection to possible future research. So, other scientists may complete that. While elaborating on possible implementations of your study, you may also estimate future approaches in topic research.  Here are some points to consider while your discussion in thesis writing:

• Outline questions related to your topic that you did not answer in defined study or did not outline as research questions. There are other possible gaps to research.
• Suggest future research based on limitations. For example, if you define surveyed people’s age as a limitation, recommend running another survey for older or younger recipients.

Example of Recommendations

As we mentioned before, our study has some limitations, as the research was conducted based on data from United State citizens. However, for a better understanding of government communication practices, it would be productive to implement the same research in other countries. Some cultural differences can influence the communication strategies the government uses in times of emergency. Another possible way to examine this topic is to conduct research using a specific period of time. For future studies, it will be beneficial to expand the number of survey recipients. 

7. Conclude Your Thesis/ Dissertation Discussion

You are almost done, the last step is to provide a brief summary of a section. It is not the same as a conclusion for whole research. However, you need to briefly outline key points from the dissertation discussion.  To finalize writing the discussion section of a dissertation, go through the text and check if there is no unimportant information. Do not overload the text with relevant data you did not present in the result section. Be specific in your summary paragraphs. It is a holistic view of everything you pointed out. Provide a few sentences to systemize all you outlined in the text. Example of a Concluding Summary in a Dissertation Discussion Section

To summarize, Airbnb has expertise in communicating CSR and CSA campaigns. We defined their communication strategy about the program for Ukrainian refugees as quite successful. They applied all the principles of CSR communication best practices, used dialogic theory to engage with the public on social media, and created clear messaging on applying for the program. Airbnb examples of CSR communication can be used by other businesses to create a communication strategy for unplanned CSR campaigns. Moreover, it can be further researched how Airbnb's CSR campaign influenced the organizational reputation in the future. 

Dissertation Discussion Example

If we need to share one piece of practical advice, it would be to use thesis or dissertation discussion examples when writing your own copy. StudyCrumb provides the best samples from real students' work to help you understand the stylistic and possible structure of this part. It does not mean you need to copy and paste them into your work.  However, you can use a  dissertation discussion example for inspiration and brainstorming ideas for breaking writing blocks. Here’s a doctoral thesis discussion chapter example.

Dissertation Discussion Writing Tips

Before reading this blog, you should already know how to write a thesis discussion. However, we would share some essential tips you need to have in mind while working on the document. 

• Be consistent Your dissertation discussion chapter is a part of bigger research, and it should be in line with your whole work.
• Understand your reader You are writing an academic text that will be analyzed by professionals and experts in the same field. Be sure that you are not trying to simplify your discussion.
• Be logical Do not jump into a new line of discussion if you did not delineate it as a research question at the beginning.
• Be clear Do not include any data that was not presented in the result section.
• Consider word choice Use such terms as “our data indicate…” or “our data suggests…” instead of “the data proves.”
• Use proper format Follow the formatting rules specified by a specific paper style (e.g., APA style format , MLA format , or Chicago format ) or provided by your instructor.

Bottom Line on Writing a Dissertation Discussion Chapter

At this stage, it should not be a question for you on how to write a discussion chapter in a PhD thesis or dissertation. Let’s make it clear. It is not a result section but still a place to elaborate on data and go deeper with explanations. Dissertation discussion section includes some intro, result interpretations, limitations, and recommendations for future research. Our team encourages you to use examples before starting your own piece of writing. It will help you to realize the purpose and structure of this chapter and inspire better texts! If you have other questions regarding the PhD writing process, check our blog for more insights. From detailed instruction on how to write a dissertation or guide on formatting a dissertation appendix , we’ve got you covered.

Order dissertation discussion from our proficient writers. They will take a significant burden off of you. Instead, they will carry out high-level academic work in a short time.

FAQ About Dissertation Discussion Chapter

1. where does a discussion section go in a dissertation.

Dissertation discussion section is used to go right after the result chapter. The logic is simple — you share your data and then go to the elaboration and explanation of it. Check the sample thesis we provide to students for details on structure.

2. How long should a dissertation discussion chapter be?

It is not a surprise that dissertation discussion chapter is extremely significant for the research. Here you will go into the details of your study and interpret results to prove or not your hypothesis. It should take almost 25% of your work. 

3. What tense should I use in a dissertation discussion?

Thesis or dissertation discussion used to have some rules on using tenses. You need to use the present tense when referring to established facts and use the past tense when referring to previous studies. And check your text before submission to ensure that you did not miss something.

4. What not to include in a dissertation discussion section?

The answer is easy. Discussion section of a dissertation should not include any new findings or describe some unsupported claims. Also, do not try to feel all possible gaps with one research. It may be better to outline your ideas for future studies in recommendations.

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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Library Guides

Dissertations 5: findings, analysis and discussion: home.

• Results/Findings

Alternative Structures

The time has come to show and discuss the findings of your research. How to structure this part of your dissertation? 

Dissertations can have different structures, as you can see in the dissertation  structure  guide.

Dissertations organised by sections

Many dissertations are organised by sections. In this case, we suggest three options. Note that, if within your course you have been instructed to use a specific structure, you should do that. Also note that sometimes there is considerable freedom on the structure, so you can come up with other structures too. 

A) More common for scientific dissertations and quantitative methods:

- Results chapter 

- Discussion chapter

Example: 

• Introduction
• Literature review
• Methodology
• (Recommendations)

if you write a scientific dissertation, or anyway using quantitative methods, you will have some  objective  results that you will present in the Results chapter. You will then interpret the results in the Discussion chapter.  

B) More common for qualitative methods

- Analysis chapter. This can have more descriptive/thematic subheadings.

- Discussion chapter. This can have more descriptive/thematic subheadings.

• Case study of Company X (fashion brand) environmental strategies 
• Successful elements
• Lessons learnt
• Criticisms of Company X environmental strategies 
• Possible alternatives

C) More common for qualitative methods

- Analysis and discussion chapter. This can have more descriptive/thematic titles.

• Case study of Company X (fashion brand) environmental strategies 

If your dissertation uses qualitative methods, it is harder to identify and report objective data. Instead, it may be more productive and meaningful to present the findings in the same sections where you also analyse, and possibly discuss, them. You will probably have different sections dealing with different themes. The different themes can be subheadings of the Analysis and Discussion (together or separate) chapter(s). 

Thematic dissertations

If the structure of your dissertation is thematic ,  you will have several chapters analysing and discussing the issues raised by your research. The chapters will have descriptive/thematic titles. 

• Background on the conflict in Yemen (2004-present day)
• Classification of the conflict in international law  
• International law violations
• Options for enforcement of international law
• Next: Results/Findings >>
• Last Updated: Aug 4, 2023 2:17 PM
• URL: https://libguides.westminster.ac.uk/c.php?g=696975

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How to Write a Discussion Section of your Dissertation or Thesis?

Introduction

Summarize the key findings, interpretation and explanation of findings, compare with existing literature, addressing limitations, exploring unexpected or contradictory findings, discussing implications and significance.

The discussion and analysis section of a PhD or a Post Graduate dissertation plays a crucial role in presenting and interpreting the research findings. It serves as the platform where you delve into the meaning, implications, and significance of your results, ultimately contributing to the advancement of knowledge in your field of study. Let’s explore why this section is of paramount importance.

When conducting research, the primary objective is to generate new insights, contribute to existing knowledge, and address gaps in the field. The discussion and analysis section serves as the space where you make sense of your findings and contextualize them.

Usually the discussion section follows the results section of the dissertation section. If you are not familiar with writing the section , then visit my post on ” Writing results section for your dissertation “

If you are in paucity of time, not confident of your writing skills and in a hurry to complete the writing task then you can think of hiring a research consultant that solves all your problems. Please visit my article on Hiring a Research consultant for your PhD tasks for further details.

In the discussion and analysis section of your dissertation, it is crucial to provide a concise summary of the main findings that emerged from your research. These findings directly address the research questions or hypotheses you formulated at the beginning of your study. Let’s explore a few examples:

Example 1: Research in Machine Learning

Research Question: How does the use of deep learning algorithms impact the accuracy of image recognition systems?

Key Findings: The study revealed that employing deep learning algorithms significantly improved the accuracy of image recognition systems. The experimental results demonstrated an average increase in accuracy of 15% compared to traditional machine learning approaches. Furthermore, it was observed that the performance improvement was particularly notable in complex and ambiguous image recognition tasks.

Example 2: Research in Natural Language Processing

Research Question: To what extent does sentiment analysis using neural networks capture the nuances of emotions in social media data?

Key Findings: The analysis demonstrated that sentiment analysis models based on neural networks exhibited a higher accuracy in capturing nuanced emotions in social media data compared to traditional rule-based methods. The study found that the neural network model achieved an overall accuracy of 85%, whereas the rule-based approach achieved only 70%. Moreover, the neural network model showcased better performance in identifying subtle emotions such as irony and sarcasm, contributing to a more comprehensive understanding of sentiment analysis.

Example 3: Research in Cybersecurity

Research Question: What are the vulnerabilities and potential attack vectors in IoT (Internet of Things) systems?

Key Findings: The investigation identified several vulnerabilities and potential attack vectors in IoT systems. The study revealed that insecure default configurations and weak authentication mechanisms were the most common vulnerabilities exploited by attackers. Furthermore, the research unveiled novel attack vectors targeting IoT devices’ communication protocols, highlighting the need for robust encryption and secure communication channels to mitigate these risks.

Remember to present your key findings in a clear and concise manner, mentioning the specific research questions or hypotheses that your study aimed to address. This allows readers to understand the main outcomes of your research and their relevance to the overarching research goals in your field.

In the discussion and analysis section of your dissertation, it is essential to interpret and explain the patterns, trends, and relationships that emerged from your data analysis. This involves using supporting evidence, such as statistical analysis or visual representations , to illustrate and strengthen your arguments. Additionally, it’s important to explain the significance and implications of your findings in relation to your research questions or hypotheses. Let’s explore some examples:

Example 1: Research in Data Mining

Findings: The analysis of large-scale customer transaction data revealed a strong association between customer purchasing behavior and their demographic characteristics.

Interpretation and Explanation: Statistical analysis demonstrated a significant correlation (p < 0.01) between customers’ age groups and their preferences for specific product categories. Younger customers showed a higher propensity for purchasing technology-related products, while older customers exhibited a preference for home and lifestyle products. These findings suggest that targeted marketing campaigns tailored to different age groups can enhance customer engagement and improve sales performance.

Example 2: Research in Network Security

Findings: The evaluation of network traffic data indicated a sudden increase in malicious activities during off-peak hours.

Interpretation and Explanation: Visual representations of network traffic patterns illustrated a substantial surge in the volume of suspicious packets and intrusion attempts between midnight and early morning hours. This finding suggests that attackers exploit the lower network traffic during off-peak hours to launch targeted attacks, making them more difficult to detect. To mitigate such risks, network administrators should enhance monitoring and employ automated threat detection systems capable of identifying anomalous behavior patterns.

Example 3: Research in Artificial Intelligence

Findings: The evaluation of various machine learning algorithms demonstrated superior performance of a novel deep reinforcement learning approach in game playing tasks.

Interpretation and Explanation: Comparative analysis using benchmark datasets revealed that the proposed deep reinforcement learning algorithm achieved an average win rate of 90% across different game environments. This outperformed traditional machine learning algorithms, including decision trees and support vector machines, which achieved win rates of 70% and 80%, respectively. These findings indicate that deep reinforcement learning holds great potential for advancing game playing AI systems, enabling them to make more optimal decisions and enhance player experience.

By discussing the patterns, trends, and relationships identified through data analysis and providing supporting evidence, such as statistical analysis or visual representations, you strengthen the validity of your arguments. Furthermore, explaining the significance and implications of your findings in relation to your research questions or hypotheses showcases the practical implications of your research.

In the discussion and analysis section of your dissertation , it is crucial to compare your findings with previous studies in your field. This involves discussing the similarities, differences, and contradictions between your research and the existing literature. Additionally, you should highlight the contributions and novelty of your research and identify areas where your results align with established theories or challenge existing knowledge. Let’s explore some examples:

Example 1: Research in Natural Language Processing

Findings: The developed natural language processing model achieved a higher accuracy in sentiment analysis compared to previous studies.

Comparison with Existing Literature: Our findings align with Smith et al. (2018) and Johnson et al. (2020), who also demonstrated the effectiveness of machine learning techniques in sentiment analysis. However, our research advances the field by incorporating contextual embeddings and attention mechanisms, resulting in an additional 5% improvement in accuracy. This highlights the contribution of our novel model architecture in enhancing sentiment analysis tasks.

Example 2: Research in Computer Vision

Findings: The proposed object detection algorithm outperformed existing methods in terms of both accuracy and computational efficiency.

Comparison with Existing Literature: Our results are consistent with the findings of Chen et al. (2019) and Wang et al. (2020), who also emphasized the importance of utilizing deep learning frameworks for object detection. However, our research extends the current knowledge by introducing a novel anchor-free approach that eliminates the need for predefined anchor boxes, resulting in a more accurate and efficient object detection system. This novel approach challenges the conventional anchor-based methods and offers potential improvements in real-time object detection applications.

Example 3: Research in Cloud Computing Security

Findings: The proposed encryption technique demonstrated enhanced security and reduced computation overhead in cloud storage systems.

Comparison with Existing Literature: Our research builds upon the encryption schemes proposed by Li et al. (2017) and Zhang et al. (2019). However, our technique introduces a dynamic key management mechanism that strengthens data confidentiality and allows efficient data access. This advancement addresses the limitations of the existing methods and contributes to the field by providing a more secure and scalable solution for protecting sensitive data in cloud storage systems.

By comparing your findings with previous studies, you showcase your understanding of the existing literature and demonstrate how your research adds value to the field of study. Identifying areas of alignment with established theories helps validate your work, while highlighting areas where your results challenge existing knowledge highlights the novelty and potential impact of your research.

In the discussion and analysis section of your dissertation, it is important to acknowledge the limitations of your study. This includes factors such as sample size, data collection methods, or other constraints that may have influenced your results. Reflecting on these limitations helps provide a transparent assessment of your research. Additionally, suggesting avenues for future research to address these limitations contributes to the advancement of the field. Let’s explore some examples:

Limitation: The study utilized a relatively small dataset consisting of 100 samples from a single organization.

Reflection: The small sample size may have limited the generalizability of the findings. The dataset’s limited diversity and narrow scope could impact the applicability of the results to broader contexts. It is important to recognize that different organizations may exhibit variations in their data patterns and characteristics.

Future Research: To address this limitation, future research could involve collecting data from multiple organizations across different industries. This would enhance the representativeness of the findings and provide a more comprehensive understanding of the phenomena under investigation.

Example 2: Research in Artificial Intelligence

Limitation: The study focused solely on image recognition tasks and did not consider other domains such as natural language processing or speech recognition.

Reflection: While the findings are valuable for image recognition, the limited scope restricts the generalizability of the results to broader AI applications. Different domains may have unique challenges and requirements that need to be considered.

Future Research: To overcome this limitation, future research could explore the application of the proposed algorithm in other domains such as text classification or voice-based applications. This would provide insights into the algorithm’s effectiveness across diverse AI applications and contribute to its broader adoption.

Example 3: Research in Human-Computer Interaction

Limitation: The study relied on self-reported measures to assess user satisfaction and perceived usability.

Reflection: Self-report measures are subject to biases and may not always capture the true user experience accurately. Participants’ responses may be influenced by various factors, such as social desirability or personal expectations.

Future Research: To address this limitation, future research could incorporate objective measures, such as eye-tracking data or physiological responses, alongside self-report measures. Combining multiple assessment methods would provide a more comprehensive understanding of user experience and yield more reliable and valid results.

By acknowledging the limitations of your study, reflecting on their potential impact, and suggesting avenues for future research, you demonstrate a critical and reflective approach to your work.

In the discussion and analysis section of your dissertation, it is important to address any unexpected or contradictory results that emerged during your research. This involves discussing these findings and offering possible explanations or alternative interpretations based on available evidence. However, it is crucial to be cautious and avoid excessive speculation without supporting evidence. Let’s explore some examples:

Unexpected Finding: The deep learning model exhibited lower accuracy on a specific subset of the dataset, contrary to initial expectations.

Exploration: Upon further analysis, it was discovered that the misclassification predominantly occurred for a particular class of samples with unique characteristics. One possible explanation for this unexpected finding is the class imbalance issue, where the dataset has significantly fewer samples for that particular class. This imbalance may have resulted in insufficient training data, hindering the model’s ability to accurately classify those samples.

Alternative Interpretation: Another alternative explanation could be the presence of inherent noise or ambiguity within the data subset. It is possible that the features extracted from these samples were inherently more challenging to differentiate, leading to lower accuracy. This highlights the need for further investigation and refinement of the model architecture to improve its performance on this specific subset.

Contradictory Finding: The sentiment analysis model performed exceptionally well on a benchmark dataset but showed reduced accuracy on real-world social media data.

Exploration: The contradiction between the model’s performance on benchmark datasets and real-world social media data warrants further investigation. One possible reason for this disparity could be the linguistic complexities and informal language prevalent in social media posts. The model may struggle to accurately interpret slang, sarcasm, or context-specific expressions, leading to decreased accuracy in sentiment analysis.

Alternative Interpretation: Another alternative explanation could be the presence of bias in the training data. The benchmark datasets might not adequately represent the diverse range of language patterns and sentiments found in real-world social media data. This bias could result in a performance gap between controlled datasets and more dynamic and unpredictable real-world data.

In both examples, it is important to acknowledge unexpected or contradictory findings and explore potential explanations based on available evidence. However, it is crucial to exercise caution and avoid excessive speculation without supporting evidence. Further analysis, experimentation, or data collection may be necessary to validate and provide more concrete explanations for unexpected or contradictory findings.

By discussing unexpected or contradictory findings and providing possible explanations or alternative interpretations, you demonstrate a scientific and inquisitive approach to your research. This also allows other researchers to critically evaluate the results and contribute to the ongoing discourse.

In the discussion and analysis section of your dissertation, it is important to explain the broader implications of your findings for your field of study and beyond. This involves discussing how your research contributes to theory, practice, or policy and highlighting potential practical applications and recommendations that arise from your analysis. Let’s explore some examples:

Example 1: Research in Artificial Intelligence Ethics

Implications: The findings of the study shed light on the ethical considerations and challenges associated with the increasing use of AI technologies in decision-making systems. The research highlights the need for transparent and explainable AI models to ensure accountability and prevent biased outcomes. Furthermore, the study emphasizes the importance of interdisciplinary collaboration between computer scientists, ethicists, and policymakers to develop guidelines and regulations that promote responsible AI development and deployment.

Contribution: This research contributes to the growing field of AI ethics by providing empirical evidence and insights into the ethical implications of AI technologies. It informs the development of ethical frameworks, guidelines, and policies that address the societal impact of AI and fosters the responsible use of AI in various domains such as healthcare, finance, and criminal justice.

Practical Applications and Recommendations: The findings underscore the importance of implementing explainable AI models in critical decision-making systems, such as loan approvals, hiring processes, and autonomous vehicles. Policymakers and organizations should establish regulatory frameworks that ensure transparency, fairness, and accountability in AI systems. Additionally, interdisciplinary collaboration should be encouraged to foster ongoing dialogue and exchange of knowledge among researchers, policymakers, and practitioners in the field of AI ethics.

Example 2: Research in Cloud Computing

Implications: The study identifies the potential risks and vulnerabilities in cloud computing systems, emphasizing the need for robust security measures to protect sensitive data. The research findings underscore the significance of ensuring data integrity, confidentiality, and availability in cloud storage and processing environments. Furthermore, the study highlights the importance of continuous monitoring and proactive detection of security breaches to prevent data breaches and unauthorized access.

Contribution: This research contributes to the field of cloud computing security by providing a comprehensive analysis of potential risks and vulnerabilities. It offers insights into the development of improved security measures and protocols for safeguarding data in cloud environments. The findings contribute to the ongoing efforts to enhance the security and reliability of cloud computing systems for individuals, organizations, and governments.

Practical Applications and Recommendations: The research findings have practical implications for cloud service providers, enterprises, and individuals utilizing cloud computing services. The study recommends implementing robust encryption techniques, multi-factor authentication, and intrusion detection systems to strengthen the security posture of cloud systems. Additionally, organizations should establish incident response plans and conduct regular security audits to identify and mitigate potential vulnerabilities in their cloud infrastructure.

By discussing the implications and significance of your findings, you highlight the broader impact of your research in the domain and beyond. Explaining how your research contributes to theory, practice, or policy demonstrates its practical relevance and potential for positive change. Additionally, discussing potential practical applications and offering recommendations based on your analysis provides actionable insights that can inform decision-making and guide future research and implementation efforts.

This blog post has provided an outline for writing the discussion and analysis section of a PhD or Post Graduate dissertation. We have discussed several key points that should be addressed in this section and provided examples from different domains to illustrate their application.

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Discussion Chapter Template

The fastest (and smartest) way to craft a strong discussion section for your dissertation, thesis or research project.

Available in Google Doc, Word & PDF format 4.9 star rating, 5000 + downloads

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What It Covers

This template covers all the core components required in the discussion chapter (or section) of a typical dissertation or thesis, including:

• The opening/ overview section
• Overview of key findings
• Interpretation of the findings
• Concluding summary

The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what’s required, along with links to additional free resources (articles, videos, etc.) to help you along your research journey.

The cleanly formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

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FAQs: Thesis Discussion Template

Faq: thesis discussion template, what types of dissertations/theses can this template be used for.

The discussion chapter template follows the standard format for academic research projects, which means it will be suitable for the majority of dissertations, theses and research projects (especially those within the sciences).

Keep in mind that the exact requirements for the discussion chapter/section will vary between universities and degree programs. For example, your university may require that the discussion chapter and conclusion chapter are merged into one, or that the results and discussion are covered together (this is often the case with qualitative research). So, be sure to double-check your university’s requirements before you finalise your structure.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require the discussion chapter to be more extensive/comprehensive, but the structure will typically remain the same. Again, be sure to check your university’s requirements and norms in terms of document structure.

How long should the discussion chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate.

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, please reference this page as your source.

What format is the template (DOC, PDF, PPT, etc.)?

The dissertation discussion chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my discussion/analysis?

Yes, we can provide coaching-based assistance with your discussion chapter (or any other chapter). If you’re interested, get in touch to discuss our private coaching services .

Additional Resources

If you’re working on a dissertation or thesis, you’ll also want to check these out…

1-On-1 Private Coaching

Research Bootcamps

The Grad Coach YouTube Channel

The Grad Coach Podcast