what to include in the findings section of a dissertation

Research Voyage

Research Tips and Infromation

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.

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.

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.

Upcoming Events

• Visit the Upcoming International Conferences at Exotic Travel Destinations with Travel Plan
• Visit for  Research Internships Worldwide

Recent Posts

• 05 Quick Review, High Impact, Best Research Journals for Submissions for July 2024
• Top Mistakes to Avoid When Writing a Research Paper
• Average Stipend for Research/Academic Internships
• These Institutes Offer Remote Research/Academic Internships
• How to Include Your Journal in the UGC-CARE List? A Guide for Publishers
• All Blog Posts
• Research Career
• Research Conference
• Research Internship
• Research Journal
• Research Tools
• Uncategorized
• Research Conferences
• Research Journals
• Research Grants
• Internships
• Research Internships
• Email Templates
• Conferences
• Blog Partners
• Privacy Policy

Copyright © 2024 Research Voyage

Design by ThemesDNA.com

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

• << Previous: Methodology
• Next: Conclusion >>
• Last Updated: Jul 26, 2024 11:54 AM
• URL: https://library.soton.ac.uk/writing_the_dissertation

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

CONNECT WITH US

• Write my thesis
• Thesis writers
• Buy thesis papers
• Bachelor thesis
• Master's thesis
• Thesis editing services
• Thesis proofreading services
• Buy a thesis online
• Write my dissertation
• Dissertation proposal help
• Pay for dissertation
• Custom dissertation
• Dissertation help online
• Buy dissertation online
• Cheap dissertation
• Dissertation editing services
• Write my research paper
• Buy research paper online
• Pay for research paper
• Research paper help
• Order research paper
• Custom research paper
• Cheap research paper
• Research papers for sale
• Thesis subjects
• How It Works

Guide on How to Write the Results Section of a Dissertation

The dissertation results chapter can be written once data has been collected and analyzed. In this section, the main findings of the research are reported and their relation to hypotheses or research questions are observed briefly. This chapter is among the most crucial parts of a study. It is here that statistical analysis is accurately performed, findings reported and explained, and assumptions examined. After this analysis, results are presented in a manner that shows non-support or support of the stated hypothesis.

Writing a thesis results section requires statistical expertise to present and defend the findings effectively. What’s more, the core findings should be presented logically without interpretation or bias from the writer. This section should set up the read for evaluation or interpretation of the findings in the discussion chapter .

When writing the thesis results chapter, the author should break down the findings into simple sentences. Essentially, this section should tell readers what the author found in the research.

What to Include in the Dissertation Results Chapter

The results chapter of a dissertation should include the core findings of a study. Essentially, only the findings of a specific study should be included in this section. These include:

• Data presented in graphs, tables, charts, and figures
• Data collection recruitment, collection, and/or participants
• Secondary findings like subgroup analyses and secondary outcomes
• Contextual data analysis and explanation of the meaning
• Information that corresponds to research questions

It’s crucial to consider the scope of your research when writing up dissertation results. That’s because a study with many variables or a broader scope can yield different results. In that case, only the most relevant results should be stated. Any data that doesn’t present direct outcomes or findings of a study should not be included in this section.

What are the Five Chapters of a Dissertation?

Traditionally, a dissertation has five major chapters. The results section is one of the most important chapters because it summarizes and presents the collected and analyzed data. The major chapters of this paper are:

• Introduction
• Literature review
• Methodology

The methodology section can vary depending on whether the author conducted qualitative research or quantitative research or a mixed study. However, the methodology section is also very important because the used methods can influence how the gathered results will be presented. For instance, you can use a questionnaire to gather information. If you don’t know how to analyze questionnaire results dissertation paper might not impress your readers. Therefore, choose your research methods wisely to make writing the findings or results section easier.

How to Write a Dissertation Results Chapter

Every research project is unique. As such, learners should not take a one-size-fits-all approach when writing results for a dissertation. The layout and content of this chapter should be determined by your research area, study design, and the chosen methodologies. Also, consider the target journal guidelines and editors.

But, when writing the results section dissertation authors can follow certain steps, especially for scientific studies. Those steps are as follows.

• Check the Target Journal’s Instructions or GuidelinesDifferent journals outline the requirements, instructions, or guidelines that authors should follow when writing the findings or results section. A journal can also provide a dissertation results section example to guide authors. It’s crucial that you note the content length limitations, scope, and aims that the journal requires dissertation authors to consider.
• Consider How Your Results Relate to the Catalogue and Requirements of the JournalConsider your findings or experimental results that are relevant to the research objectives or questions. Include even the findings that don’t support your hypothesis or are unexpected. Also, catalog the findings of your research using subheadings to clarify and streamline your report. That way, you can avoid peripheral and excessive details and make your findings easy to understand.It’s important to decide on the results structure. For instance, you can match the hypothesis or research questions to the results. You can also arrange them the way they are ordered in your Methods section. Alternatively, use the importance hierarchy or chronological order. Most importantly, consider your evidence, audience, and objectives of the study when deciding on the dissertation structure for the results section.
• Design Tables and Figures for Illustrating Your DataNumber your figures and tables in the order that you use to mention them in main the paper text. Make sure that your figures have self-explanatory information. Also, include the necessary information, such as definitions in the design to make the findings data easy to understand. Essentially, readers should understand your tables and figures without reading the text.Additionally, make your figures and tables the focal point of this section. Ensure that they tell an informative and clear story about the study without repetition. However, always remember that figures should enhance and clarify your text, not replace it.

Checklist for the Results Chapter

Once you have written this section, go through it carefully to ensure the following:

• All findings that are relevant to the research questions have been included.
• Each result has been reported objectively and concisely, including relevant inferential statistics and descriptive statistics.
• You have stated whether the study findings refuted or supported every hypothesis.
• You have used figures and tables to illustrate your results appropriately.
• All figures and tables are referred to and labeled correctly in the text.
• The presented results do not include speculations or subjective interpretation

You may come across many tips on how to write the results section of a dissertation. However, the most important tip is to ensure that the results that you present in this section are relevant to your study questions or hypotheses. If this sounds too complicated, you can ask us “ do my thesis for me “, and we’ll take care of it. Anyways, you have to remember that relevance is the most important thing regardless of whether the results support or do not support the hypotheses. Also, decide on the order to use when presenting the results of your study. This is very important because it makes it easier for your readers to understand them. Including figures, tables, and graphs makes the information in this section easier to understand.

Leave a Reply Cancel reply

Have a language expert improve your writing

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

• Knowledge Base
• Dissertation
• How to Write a Results Section | Tips & Examples

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 logical order. Don’t include subjective interpretations of why you found these results or what they mean – any evaluation should be saved for the discussion section .

Instantly correct all language mistakes in your text

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

Table of contents

How to write a results section, reporting quantitative research results, reporting qualitative research results, results vs discussion vs conclusion, checklist: research results, frequently asked questions about results sections.

When conducting research, it’s important to report the results of your study prior to discussing your interpretations of it. This gives your reader a clear idea of exactly what you found and keeps the data itself separate from your subjective analysis.

Here are a few best practices:

• Your results should always be written in the past tense.
• While the length of this section depends on how much data you collected and analysed, it should be written as concisely as possible.
• Only include results that are directly relevant to answering your research questions . Avoid speculative or interpretative words like ‘appears’ or ‘implies’.
• If you have other results you’d like to include, consider adding them to an appendix or footnotes.
• Always start out with your broadest results first, and then flow into your more granular (but still relevant) ones. Think of it like a shoe shop: first discuss the shoes as a whole, then the trainers, boots, sandals, etc.

Prevent plagiarism, run a free check.

If you conducted quantitative research , you’ll likely be working with the results of some sort of statistical analysis .

Your results section should report the results of any statistical tests you used to compare groups or assess relationships between variables . It should also state whether or not each hypothesis was supported.

The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. For each question or hypothesis, share:

• A reminder of the type of analysis you used (e.g., a two-sample t test or simple linear regression ). A more detailed description of your analysis should go in your methodology section.
• A concise summary of each relevant result, both positive and negative. This can include any relevant descriptive statistics (e.g., means and standard deviations ) as well as inferential statistics (e.g., t scores, degrees of freedom , and p values ). Remember, these numbers are often placed in parentheses.
• A brief statement of how each result relates to the question, or whether the hypothesis was supported. You can briefly mention any results that didn’t fit with your expectations and assumptions, but save any speculation on their meaning or consequences for your discussion  and conclusion.

A note on tables and figures

In quantitative research, it’s often helpful to include visual elements such as graphs, charts, and tables , but only if they are directly relevant to your results. Give these elements clear, descriptive titles and labels so that your reader can easily understand what is being shown. If you want to include any other visual elements that are more tangential in nature, consider adding a figure and table list .

As a rule of thumb:

• Tables are used to communicate exact values, giving a concise overview of various results
• Graphs and charts are used to visualise trends and relationships, giving an at-a-glance illustration of key findings

Don’t forget to also mention any tables and figures you used within the text of your results section. Summarise or elaborate on specific aspects you think your reader should know about rather than merely restating the same numbers already shown.

Figure 1: Intention to donate to environmental organisations based on social distance from impact of environmental damage.

In qualitative research , your results might not all be directly related to specific hypotheses. In this case, you can structure your results section around key themes or topics that emerged from your analysis of the data.

For each theme, start with general observations about what the data showed. You can mention:

• Recurring points of agreement or disagreement
• Patterns and trends
• Particularly significant snippets from individual responses

Next, clarify and support these points with direct quotations. Be sure to report any relevant demographic information about participants. Further information (such as full transcripts , if appropriate) can be included in an appendix .

‘I think that in role-playing games, there’s more attention to character design, to world design, because the whole story is important and more attention is paid to certain game elements […] so that perhaps you do need bigger teams of creative experts than in an average shooter or something.’

Responses suggest that video game consumers consider some types of games to have more artistic potential than others.

Your results section should objectively report your findings, presenting only brief observations in relation to each question, hypothesis, or theme.

It should not  speculate about the meaning of the results or attempt to answer your main research question . Detailed interpretation of your results is more suitable for your discussion section , while synthesis of your results into an overall answer to your main research question is best left for your conclusion .

I have completed my data collection and analyzed the results.

I have included all results that are relevant to my research questions.

I have concisely and objectively reported each result, including relevant descriptive statistics and inferential statistics .

I have stated whether each hypothesis was supported or refuted.

I have used tables and figures to illustrate my results where appropriate.

All tables and figures are correctly labelled and referred to in the text.

There is no subjective interpretation or speculation on the meaning of the results.

You've finished writing up your results! Use the other checklists to further improve your thesis.

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

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

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

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

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

Don’t interpret or speculate in the results chapter.

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

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

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

Cite this Scribbr article

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

Swaen, B. (2022, October 25). How to Write a Results Section | Tips & Examples. Scribbr. Retrieved 30 July 2024, from https://www.scribbr.co.uk/thesis-dissertation/results-section/

Is this article helpful?

Other students also liked

What is a research methodology | steps & tips, how to write a discussion section | tips & examples, how to write a thesis or dissertation conclusion.

Frequently asked questions

What goes in the results chapter of a dissertation.

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

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

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

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

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

Don’t interpret or speculate in the results chapter.

Frequently asked questions: Dissertation

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

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

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

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

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

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

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

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

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

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

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

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

For a stronger dissertation conclusion , avoid including:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ask our team

Want to contact us directly? No problem.  We  are always here for you.

• Email [email protected]
• Start live chat
• Call +1 (510) 822-8066
• WhatsApp +31 20 261 6040

Our team helps students graduate by offering:

• A world-class citation generator
• Plagiarism Checker software powered by Turnitin
• Innovative Citation Checker software
• Professional proofreading services
• Over 300 helpful articles about academic writing, citing sources, plagiarism, and more

Scribbr specializes in editing study-related documents . We proofread:

• PhD dissertations
• Research proposals
• Personal statements
• Admission essays
• Motivation letters
• Reflection papers
• Journal articles
• Capstone projects

Scribbr’s Plagiarism Checker is powered by elements of Turnitin’s Similarity Checker , namely the plagiarism detection software and the Internet Archive and Premium Scholarly Publications content databases .

The add-on AI detector is powered by Scribbr’s proprietary software.

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

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

• LEARNING SKILLS
• Writing a Dissertation or Thesis
• Results and Discussion

Search SkillsYouNeed:

Learning Skills:

• A - Z List of Learning Skills
• What is Learning?
• Learning Approaches
• Learning Styles
• 8 Types of Learning Styles
• Understanding Your Preferences to Aid Learning
• Lifelong Learning
• Decisions to Make Before Applying to University
• Top Tips for Surviving Student Life
• Living Online: Education and Learning
• 8 Ways to Embrace Technology-Based Learning Approaches
• Critical Thinking Skills
• Critical Thinking and Fake News
• Understanding and Addressing Conspiracy Theories
• Critical Analysis
• Study Skills
• Exam Skills
• How to Write a Research Proposal
• Ethical Issues in Research
• Dissertation: The Introduction
• Researching and Writing a Literature Review
• Writing your Methodology
• Dissertation: Results and Discussion
• Dissertation: Conclusions and Extras

Writing Your Dissertation or Thesis eBook

Part of the Skills You Need Guide for Students .

• Research Methods
• Teaching, Coaching, Mentoring and Counselling
• Employability Skills for Graduates

Subscribe to our FREE newsletter and start improving your life in just 5 minutes a day.

You'll get our 5 free 'One Minute Life Skills' and our weekly newsletter.

We'll never share your email address and you can unsubscribe at any time.

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?

Academic & Employability Skills

Subscribe to academic & employability skills.

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 419 other subscribers.

Email Address

Writing your dissertation - structure and sections

Posted in: dissertations

In this post, we look at the structural elements of a typical dissertation. Your department may wish you to include additional sections but the following covers all core elements you will need to work on when designing and developing your final assignment.

The table below illustrates a classic dissertation layout with approximate lengths for each section.

Hopkins, D. and Reid, T., 2018.  The Academic Skills Handbook: Your Guid e to Success in Writing, Thinking and Communicating at University . Sage.

Your title should be clear, succinct and tell the reader exactly what your dissertation is about. If it is too vague or confusing, then it is likely your dissertation will be too vague and confusing. It is important therefore to spend time on this to ensure you get it right, and be ready to adapt to fit any changes of direction in your research or focus.

In the following examples, across a variety of subjects, you can see how the students have clearly identified the focus of their dissertation, and in some cases target a problem that they will address:

An econometric analysis of the demand for road transport within the united Kingdom from  1965 to 2000

To what extent does payment card fraud affect UK bank profitability and bank stakeholders?  Does this justify fraud prevention?

A meta-analysis of implant materials for intervertebral disc replacement and regeneration.

The role of ethnic institutions in social development; the case of Mombasa, Kenya.

Why haven’t biomass crops been adopted more widely as a source of renewable energy in the United Kingdom?

Mapping the criminal mind: Profiling and its limitation.

The Relative Effectiveness of Interferon Therapy for Chronic Hepatitis C

Under what conditions did the European Union exhibit leadership in international climate change negotiations from 1992-1997, 1997-2005 and 2005-Copenhagen respectively?

The first thing your reader will read (after the title) is your abstract. However, you need to write this last. Your abstract is a summary of the whole project, and will include aims and objectives, methods, results and conclusions. You cannot write this until you have completed your write-up.

Introduction

Your introduction should include the same elements found in most academic essay or report assignments, with the possible inclusion of research questions. The aim of the introduction is to set the scene, contextualise your research, introduce your focus topic and research questions, and tell the reader what you will be covering.  It should move from the general  and work towards the specific. You should include the following:

• Attention-grabbing statement (a controversy, a topical issue, a contentious view, a recent problem etc)
• Background and context
• Introduce the topic, key theories, concepts, terms of reference, practices, (advocates and critic)
• Introduce the problem and focus of your research
• Set out your research question(s) (this could be set out in a separate section)
• Your approach to answering your research questions.

Literature review

Your literature review is the section of your report where you show what is already known about the area under investigation and demonstrate the need for your particular study. This is a significant section in your dissertation (30%) and you should allow plenty of time to carry out a thorough exploration of your focus topic and use it to help you identify a specific problem and formulate your research questions.

You should approach the literature review with the critical analysis dial turned up to full volume. This is not simply a description, list, or summary  of everything you have read. Instead, it is a synthesis of your reading, and should include analysis and evaluation of readings, evidence, studies and data, cases, real world applications and views/opinions expressed.  Your supervisor is looking for this detailed critical approach in your literature review, where you unpack sources, identify strengths and weaknesses and find gaps in the research.

In other words, your literature review is your opportunity to show the reader why your paper is important and your research is significant, as it addresses the gap or on-going issue you have uncovered.

You need to tell the reader what was done. This means describing the research methods and explaining your choice. This will include information on the following:

• Are your methods qualitative or quantitative... or both? And if so, why?
• Who (if any) are the participants?
• Are you analysing any documents, systems, organisations? If so what are they and why are you analysing them?
• What did you do first, second, etc?
• What ethical considerations are there?

It is a common style convention to write what was done rather than what you did, and write it so that someone else would be able to replicate your study.

Here you describe what you have found out. You need to identify the most significant patterns in your data, and use tables and figures to support your description. Your tables and figures are a visual representation of your findings, but remember to describe what they show in your writing. There should be no critical analysis in this part (unless you have combined results and discussion sections).

Here you show the significance of your results or findings. You critically analyse what they mean, and what the implications may be. Talk about any limitations to your study, evaluating the strengths and weaknesses of your own research, and make suggestions for further studies to build on your findings. In this section, your supervisor will expect you to dig deep into your findings and critically evaluate what they mean in relation to previous studies, theories, views and opinions.

This is a summary of your project, reminding the reader of the background to your study, your objectives, and showing how you met them. Do not include any new information that you have not discussed before.

This is the list of all the sources you have cited in your dissertation. Ensure you are consistent and follow the conventions for the particular referencing system you are using. (Note: you shouldn't include books you've read but do not appear in your dissertation).

Include any extra information that your reader may like to read. It should not be essential for your reader to read them in order to understand your dissertation. Your appendices should be labelled (e.g. Appendix A, Appendix B, etc). Examples of material for the appendices include detailed data tables (summarised in your results section), the complete version of a document you have used an extract from, etc.

Share this:

• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)
• Click to share on WhatsApp (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Twitter (Opens in new window)
• Click to share on Facebook (Opens in new window)

Click here to cancel reply.

• Email * (we won't publish this)

Write a response

I am finding this helpful. Thank You.

It is very useful.

Glad you found it useful Adil!

I was a useful post i would like to thank you

Glad you found it useful! 🙂

Navigating the dissertation process: my tips for final years

Imagine for a moment... After months of hard work and research on a topic you're passionate about, the time has finally come to click the 'Submit' button on your dissertation. You've just completed your longest project to date as part...

8 ways to beat procrastination

Whether you’re writing an assignment or revising for exams, getting started can be hard. Fortunately, there’s lots you can do to turn procrastination into action.

My takeaways on how to write a scientific report

If you’re in your dissertation writing stage or your course includes writing a lot of scientific reports, but you don’t quite know where and how to start, the Skills Centre can help you get started. I recently attended their ‘How...

• How it works

How to Write a Dissertation Discussion Chapter – A Quick Guide with Examples

Published by Alvin Nicolas at August 12th, 2021 , Revised On July 12, 2024

Dissertation discussion is the chapter where you explore the relevance, significance, and meanings of your findings  – allowing you to showcase your talents in describing and analyzing the results of your study.

Here, you will be expected to demonstrate how your research findings  answer the  research questions  established or test the  hypothesis .

The arguments you assert in the dissertation analysis and discussions chapter lay the foundations of your conclusion . It is critically important to discuss the results in a precise manner.

To help you understand how to write a dissertation discussion chapter, here is the list of the main elements of this section so you stay on the right track when writing:

• Summary: Start by providing a summary of your key research findings
• Interpretations: What is the significance of your findings?
• Implications: Why are your findings important to academic and scientific communities, and what purpose would they serve?
• Limitations: When and where will your results have no implications?
• Future Recommendations : Advice for other researchers and scientists who explore the topic further in future.

The dissertation discussion chapter should be carefully drafted to ensure that the results mentioned in your research align with your research question, aims, and objectives.

Considering the importance of this chapter for all students working on their dissertations, we have comprehensive guidelines on how to write a dissertation discussion chapter.

The discussion and  conclusion  chapters often overlap. Depending on your university, you may be asked to group these two sections in one chapter – Discussion and Conclusion.

In some cases, the results and discussion are put together under the Results and Discussion chapter. Here are some dissertation examples of working out the best structure for your dissertation.

Alternatively, you can look for the required  dissertation structure in your handbook  or consult your supervisor.

Steps of How to Write Dissertation Discussion Chapter

1. provide a summary of your findings.

Start your discussion by summarising the key findings of your research questions. Avoid repeating the information you have already stated in the previous chapters.

You will be expected to clearly express your interpretation of results to answer the research questions established initially in one or two paragraphs.

Here are some  examples of how to present the summary of your findings ;

• “The data suggests that”,
• “The results confirm that”,
• “The analysis indicates that”,
• “The research shows a relationship between”, etc.

2. Interpretations of Results

Your audience will expect you to provide meanings of the results, although they might seem obvious to you. The results and their interpretations should be linked to the research questions so the reader can understand the value your research has added to the literature.

There are many ways of interpreting the data, but your chosen approach to interpreting the data will depend on the  type of research involved . Some of the most common strategies employed include;

• Describing how and why you ended up with unexpected findings and explaining their importance in detail
• Relating your findings with previous studies conducted
• Explaining your position with logical arguments when/if any alternative explanations are suggested
• An in-depth discussion around whether or not the findings answered your research questions and successfully tested the hypothesis

Examples of how you can start your interpretation in the Discussion chapter are –

• “Findings of this study contradict those of Allen et al. (2014) that”,
• “Contrary to the hypothesized association,” “Confirming the hypothesis…”,
• “The findings confirm that A is….. even though Allen et al. (2014) and Michael (2012) suggested B was …..”

3. Implications of your Study

What practical and theoretical implications will your study have for other researchers and the scientific community as a whole?

It is vital to relate your results to the knowledge in the existing literature so the readers can establish how your research will contribute to the existing data.

When thinking of the possible consequences of your findings, you should ask yourself these;

• Are your findings in line with previous studies? What contribution did your research make to them?
• Why are your results entirely different from other studies on the same topic?
• Did your findings approve or contradict existing knowledge?
• What are the practical implications of your study?

Remember that as the researcher, you should aim to let your readers know why your study will contribute to the existing literature. Possible ways of starting this particular section are;

• “The findings show that A….. whereas Lee (2017) and John (2013) suggested that B”, “The results of this study completely contradict the claims made in theories”,
• “These results are not in line with the theoretical perspectives”,
• “The statistical analysis provides a new understanding of the relationship between A and B”,
• “Future studies should take into consideration the findings of this study because”

“Improve your work’s language, structure, style, and overall quality. Get help from our experienced dissertation editors to improve the quality of your paper to First Class Standard. Click here to learn more about our Dissertation, Editing, and Improvement Services .

Looking for dissertation help?

Researchprospect to the rescue, then.

We have expert writers on our team who are skilled at helping students with dissertations across various disciplines. Guaranteeing 100% satisfaction!

4. Recognise the Limitations of your Research

Almost every academic research has some limitations. Acknowledging them will only add to your credibility as a scientific researcher.

In addition to the possible human errors, it’s important to take into account other factors that might have influenced the results of your study, including but not limited to unexpected research obstacles, specific methodological choices , and the overall research design.

Avoid mentioning any limitations that may not be relevant to your research aim, but clearly state the limitations that may have affected your results.

For example, if you used a sample size that included a tiny population, you may not generalise your results.

Similarly, obstacles faced in collecting data from the participants can influence the findings of your study. Make a note of all such  research limitations , but explain to the reader why your results are still authentic.

• The small sample size limited the generalisability of the results.
• The authenticity of the findings may have been influenced by….
• The obstacles in collecting data resulted in…
• It is beyond the framework of this research…

5. Provide Recommendations for Future Research

The limitations of your research work directly result in future recommendations . However, it should be noted that your recommendations for future research work should include the areas that your own work could not report so other researchers can build on them.

Sometimes the recommendations are a part of the  conclusion chapter . Some examples;

• More research is needed to be performed….

The Purpose of Dissertation Discussion Chapter 

Remember that the discussion section of a dissertation is the heart of your research because a) it will indicate your stance on the topic of research, and b) it answers the research questions initially established in the Introduction chapter .

Every piece of information you present here will add value to the existing literature within your field of study. How you structured your findings in the preceding chapter will help you determine the best structure for your dissertation discussion section.

For example, it might be logical to structure your analysis/discussions by theme if you chose the pattern in your findings section.

But generally, discussion based on research questions is the more widely used  structure  in academia because this pattern clearly indicates how you have addressed the aim of your research.

Most UK universities require the supervisor or committee members to comment on the extent to which each research question has been answered. You will be doing them a great favour if you structure your discussion so that each research question is laid out separately.

Irrespective of whether you are  writing an essay, dissertation, or  chapter of a dissertation , all pieces of writing should start with an  introduction .

Once your readers have read through your study results, you might want to highlight the contents of the subsequent discussion as an introduction paragraph (summary of your results – as explained above).

Likewise, the discussion chapter is expected to end with a concluding paragraph – allowing you the opportunity to summarise your interpretations.

The dissertation analysis & discussion chapter is usually very long, so it will make sense to emphasise the critical points in a concluding paragraph so the reader can grasp the essential information. This will also help to make sure the reader understands your analysis.

Also Read:   Research Discussion Of Findings

Useful Tips 

Presentation of graphs, tables, and figures.

In the 1990s and early 2000s, students spent days creating graphs and charts for their  statistical analysis work . Thanks to technology, you can produce even more accurate graphs and figures today in a shorter period.

Using  Microsoft Word, STATA, SPSS, Microsoft Excel  and other statistical analysis software, we can now draw  beautiful-looking figures, tables , and graphs with just a few clicks and make them appear in our document at the desired place. But there are downsides to being too dependent on technology.

Many students make the common mistake of using colours to represent variables when really they have to print their dissertation paper final copy in black and white.

Any colours on graphs and figures will eventually be viewed in the grayscale presentation. Recognizing different shades of grey on the same chart or graph can sometimes be a little confusing.

For example, green and purple appear as pretty much the same shade of grey on a line chat, meaning your chart will become unreadable to the marker.

Another trap you may fall into is the unintentional stuffing   of the dissertation chapter with graphs and figures. Even though it is essential to show numbers and statistics, you don’t want to overwhelm your readers with too many.

It may not be necessary to have a graph/table under each sub-heading. Only you can best judge whether or not you need to have a graph/table under a particular sub-heading as the writer.

Relating to Previous Chapters  

As a student, it can be challenging to develop your own analysis and discussion of results. One of the excellent discussion chapter requirements is to showcase your ability to relate previous research to your research results.

Avoid repeating the same information over and over. Many students fall into this trap which negatively affects the mark of their overall dissertation paper .

Concise and to-the-point information will help you effectively convey your point to the readers.

Although you must demonstrate how your findings relate to previous research, it is equally important to ensure you are not simply rewriting what has already been said in the introduction  and  literature review  chapters.

The best strategy is to use examples from previous sections to postulate an argument.

Hyperlinks are recommended to take the reader from one section to another. This is especially important for submitting electronic documents as .word or .pdf files. Hyperlinking is tedious and time-consuming, so you should allow for this in your dissertation timeline to avoid rushing in the closing stages.

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

Using Subsections and Subheadings

You might want to reflect on the structure of the discussion in your organizstion of the dissertation discussion chapter, and for that, you will need to create sub-sections.

It is essential to keep subsections to the point and as short as possible. Use a layer of subheadings if possible.

For example

Subsection 4.1 of Chapter 4- Discussion can be further divided into sections 4.1.1 and 4.2.2. After three numerical layers (4.1.1, 4.2.2, and 4.2.3), any subheadings need not appear in the contents table.

The titles of all subsections will appear on your table of contents  so choose the wordings carefully. A title too long or too short might confuse the reader. A one or two-word subheading will not give the reader enough information to understand the section.

Likewise, using a research question or long sentences in the subheading is not recommended. It might help to examine how other researchers and writers create these subheadings.

Critical Thinking

Your critical thinking skills are the crux of your dissertation discussion chapter. You will do yourself a great disservice if you fail to put the critical thinking element into the equation.

After all, this exercise aims to showcase clarity in your thoughts and arguments. Markers of the dissertation give more importance to the analysis  and discussion chapter. But you could be marked negatively if this particular chapter lacks critical thinking.

Many students struggle to distinguish between fundamental descriptive analysis and critical thinking with their opinions on the research topic.

Critical thinking is a skill developed over time, and it might be daunting for you to come to terms with the idea of critical thinking and its use in your analysis. But even if you are no expert, you must try your best.

“Still unsure about  how to write a dissertation discussion chapter ? Why not take advantage of our  UK-based dissertation writing service ? Your dissertation is essential to your degree, so you cannot risk failing it.

With our custom writing service , you are guaranteed to have all your dissertation paper elements put into the right place. Our expert academics can help you with your full dissertation paper or a part of it.  Click here to learn more about our dissertation services.

Duplication of Content

Another critical error students make reaffirming the point the graph/chart was supposed to make. Writing out the same information as presented in the graph defeats the whole purpose of having them in the first place.

You will be expected to form your opinions and arguments based on the findings (as presented by the graphs), so keep an eye on this mistake. Finally, avoid simply inserting a graph without any explanation whatsoever.

It should be noted that there is no correct or incorrect number of charts/figures one can use in the dissertation findings and discussion chapter. A balance must be struck.

Avoid Over Interpretation

This is a major no-no when writing a dissertation discussion. Do not make an argument that isn’t backed by your collected data.

The results and interpretations that cannot be supported should not be mentioned. Your research will be deemed unauthentic and will also be questioned by your supervisor if you do so. Results should be interpreted without any bias.

How to Write the Findings of a Dissertation.

Do not Speculate

Speculation in the  discussion chapter of your dissertation is discouraged. Your dissertation’s discussion is based on your collected data and how it relates to your research questions. Thus, speculating here will undoubtedly undermine your research’s credibility.

Also, try not to generalise your findings. If your research is based on a specific population, do not state that the same findings might apply in every case. As indicated previously, it is essential to acknowledge the limitations of your research.

On the other hand, if you think your discussion needs to address other populations as well, start your sentence like this ‘We speculate that..’ or ‘It is speculated that..’ This will keep you from getting into any trouble.

What are the elements of the Dissertation Discussion?

The list of the main elements of the discussion chapter are:

• Implications : Why are your findings important to academic and scientific communities, and what purpose would they serve?
• Future Recommendations: Advice for other researchers and scientists who explore the topic further in future.

What are the steps of writing a Dissertation Discussion Chapter?

• Write a summary of the findings
• Provide a summary of your findings
• Interpretations of Results
• Recognise the Limitations of your research
• Provide Recommendations for Future Research.

Can we use graphs and charts in the Dissertation Discussion Chapter?

Yes, using graphs to aid your statistical results and enhance presentation is essential, but do not overwhelm it with a lot of graphs in multiple colours. 

You May Also Like

The list of figures and tables in dissertation help the readers find tables and figures of their interest without looking through the whole dissertation.

When writing your dissertation, an abstract serves as a deal maker or breaker. It can either motivate your readers to continue reading or discourage them.

Finding it difficult to maintain a good relationship with your supervisor? Here are some tips on ‘How to Deal with an Unhelpful Dissertation Supervisor’.

USEFUL LINKS

LEARNING RESOURCES

COMPANY DETAILS

• How It Works

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.

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 ...

37 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?

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!

Submit a Comment Cancel reply

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

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

• Print Friendly

• Dissertation & Thesis Guides
• Basics of Dissertation & Thesis Writing
• How to Write a Dissertation Discussion Chapter: Guide & Examples
• Speech Topics
• Basics of Essay Writing
• Essay Topics
• Other Essays
• Main Academic Essays
• Research Paper Topics
• Basics of Research Paper Writing
• Miscellaneous
• Chicago/ Turabian
• Data & Statistics
• Methodology
• Admission Writing Tips
• Admission Advice
• Other Guides
• Student Life
• Studying Tips
• Understanding Plagiarism
• Academic Writing Tips

• Essay Guides
• Research Paper Guides
• Formatting Guides
• Basics of Research Process
• Admission Guides

How to Write a Dissertation Discussion Chapter: Guide & Examples

Table of contents

Use our free Readability checker

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.

You may also like

• +44 (0) 207 391 9032

Recent Posts

• How Professional Editing Services Can Take Your Writing to the Next Level
• How to Write an Effective Essay Outline
• How to Write a Law Essay: A Comprehensive Guide with Examples
• What Are the Limitations of ChatGPT?
• How to Properly Write an Essay Outline Using ChatGpt
• Why Presentation Skills Are Important for Students
• Tips on How to Make an Essay Longer
• How to Structure Your Dissertation in 2024
• How to Write a Research Paper Like a Pro
• Academic Integrity vs. Academic Dishonesty: Understanding the Key Differences
• Academic News
• Custom Essays
• Dissertation Writing
• Essay Marking
• Essay Writing
• Essay Writing Companies
• Model Essays
• Model Exam Answers
• Oxbridge Essays Updates
• PhD Writing
• Significant Academics
• Student News
• Study Skills
• University Applications
• University Essays
• University Life
• Writing Tips

Writing up the results section of your dissertation

(Last updated: 12 May 2021)

Since 2006, Oxbridge Essays has been the UK’s leading paid essay-writing and dissertation service

We have helped 10,000s of undergraduate, Masters and PhD students to maximise their grades in essays, dissertations, model-exam answers, applications and other materials. If you would like a free chat about your project with one of our UK staff, then please just reach out on one of the methods below.

When asked why doing a dissertation can be such a headache, the typical student usually replies with one of two answers. Either, they simply don't like writing enormous volumes of text, or – and you may relate here – they categorically do not enjoy analysing data. "It's so long and boring!", the typical student wails.

Well, students wail, and we answer. We have put together this very comprehensive, very useful guide on how to write up the results section of your dissertation. To help you further, we've broken the information down into both quantitative and qualitative results, so you can focus on what applies to you most.

Writing up your quantitative results

Understanding the basics of your research.

First, you need to recall what you have assessed – or what your main variables are.

All quantitative research has at least one independent and one dependent variable, and, at this point, you should define them explicitly. An independent variable is one that you control to test its effects on the dependent variable. A dependent variable is thus your outcome variable.

Second, you need to determine if your variables were categorical or continuous.

A categorical variable is one with a fixed number of possible values, and a continuous variable is one where final scores have a wide range. Finally, you need to recall if you have used a so-called covariate or confounder variable. This is a variable that could have influenced the relationship between your independent and dependent variable, and that you controlled in order to accurately estimate the relationship between your main variables.

Let’s explain all this with an example. Suppose that your research was to assess whether height is associated with self-esteem. Here, participants’ height is an independent variable and self-esteem is a dependent variable. Because both height and scores on a measure of self-esteem can have a wide range, you have two continuous variables. You might have also wanted to see if the relationship between height and self-esteem exists after controlling for participants’ weight. In this case, weight is a confounding variable that you need to control for.

Here is another example. You might have assessed whether more females than males want to read a specific romantic novel. Here, your independent variable is gender and your dependent variable is the determination to read the book. Since gender has categories (male and female), this is a categorical variable. If you have assessed the determination to read the book on a scale from 1 to 10 (e.g. 1 = no determination at all to read the book, all the way to 10 = extremely strong determination to read it), then this is a continuous variable; however, if you have asked your participants to say whether they do or do not want to read the book, then this is a categorical variable (since there are two categories: “yes” and “no”).

Lastly, you might have wanted to see if the link between gender and the determination to read the book exists after controlling for participants’ current relationship status. Here, relationship status is your confounding variable.

We will return to these examples throughout this blog post. At this point, it is important to remember that outlining your research in this way helps you to write up your results section in the easiest way possible.

Let’s move on to the next step.

Outlining descriptive and frequencies statistics

In order to report descriptive and/or frequencies statistics, you need to outline all variables that you have used in your research and note whether those variables are continuous or categorical.

For continuous variables, you are using descriptive statistics and reporting the measures of central tendency (mean) and measures of variability or spread (standard deviation). For categorical variables, you are using frequencies statistics and reporting the number (or frequency) of participants per category and associated percentages. Both these statistics require you to make a table, and in both cases you also need to comment upon the statistics.

How does all of this look in practice? Recall the two examples that were outlined above. If you have assessed the association between participants’ height and self-esteem, while controlling for participants’ weight, then your research consists of three continuous variables. You need to make a table, as in TABLE 1 below, which identifies means and standard deviations for all these variables. When commenting upon the results, you can say:

Participants were on average 173.50 cm tall (SD = 5.81) and their mean weight was 65.31 kg (SD = 4.44). On average, participants had moderate levels of self-esteem (M = 5.55, SD = 2.67).

Note that, in this example, you are concluding that participants had moderate self-esteem levels if their self-esteem was assessed on a 1 to 10 scale. Since the value of 5 falls within the middle of this range, you are concluding that the mean value of self-esteem is moderate. If the mean value was higher (e.g., M = 8.33), you would conclude that participants’ self-esteem was, on average, high; and if the mean value was lower (e.g., M = 2.44), you would conclude that average self-esteem scores were low.

Let’s now return to our second research example and say that you want to report the degree to which males and females want to read a romantic novel, where this determination was assessed on a 1-10 (continuous) scale. This would look as shown in TABLE 2.

We can see how to report frequencies statistics for different groups by referring to our second example about gender, determination to read a romantic novel, and participants’ relationship status.

Here, you have three categorical variables (if determination to read the novel was assessed by having participants reply with “yes” or “no”). Thus, you are not reporting means and standard deviations, but frequencies and percentages.

To put this another way, you are noting how many males versus females wanted to read the book and how many of them were in a relationship, as shown in TABLE 3. You can report these statistics in this way:

Twenty (40%) male participants wanted to read the book and 35 (70%) female participants wanted to read the book. Moreover, 22 (44%) males and 26 (52%) females indicated that they are currently in a relationship.

Reporting the results of a correlation analysis

The first of these is correlation, which you use when you want to establish if one or more (continuous, independent) variables relate to another (continuous, dependent) variable. For instance, you may want to see if participants’ height correlates with their self-esteem levels.

The first step here is to report whether your variables are normally distributed. You do this by looking at a histogram that describes your data. If the histogram has a bell-shaped curve (see purple graph below), your data is normally distributed and you need to rely on a Pearson correlation analysis. Here, you need to report the obtained r value (correlation coefficient) and p value (which needs to be lower than .05 in order to establish significance). If you find a correlation, you need to say something like:

One final thing to note, which is important for all analyses, is that when your p value is indicated to be .000, you never report it by saying “ p = .000”, but by noting “ p p = .011”.

If your data is skewed rather than normally distributed (see red graphs), then you need to rely on a Spearman correlation analysis. Here, you report the results by saying:

Spearman correlation analysis revealed a positive relationship between people’s height and their self-esteem (r s = .44, p There has been a significant positive correlation between height and self-esteem after controlling for participants’ weight ( r = .39, p = .034).

You also need to make a table that will summarise your main results. If you didn’t use a covariate, you will have a fairly simple table, such as that shown in TABLE 4. If you have used a covariate, your table is slightly more complex, such as that shown in TABLE 5. Note that both tables use “-” to indicate correlations that have already been noted within the table. Also note how “*”, “**”, and “***” are used to annotate correlations that are significant at different levels.

Reporting the results of a regression

These are the specific points that you need to address in order to make sure that all assumptions have been met:

(1) for the assumption of no multicollinearity (i.e., a lack of high correlation between your independent variables), you need to establish that none of your Tolerance statistics are below .01 and none of the VIF statistics are above 10;

(2) for the assumption of no autocorrelation of residuals (i.e., a lack of correlation between the residuals of two observations), you need to look at this table and see whether your Durbin-Watson statistic falls within a desirable range, depending on your number of participants and the number of predictors (independent variables); and,

(3) for the assumptions of linearity (i.e., a linear relationship between independent and dependent variables) and homoscedasticity (i.e., a variance of error terms that should be similar across the independent variables), you need to look at the scatterplot of standardised residual on standardised predicted value and conclude that your graph doesn’t funnel out or curve.

All of this may sound quite complex. But in reality it is not: you just need to look at your results output to note the Tolerance and VIF values, Durbin-Watson value, and the scatterplot. Once you conclude that your assumptions have been met, you write something like:

Since none of the VIF values were below 0.1 and none of the Tolerance values were above 10, the assumption of no multicollinearity has been met. Durbin-Watson statistics fell within an expected range, thus indicating that the assumption of no autocorrelation of residuals has been met as well. Finally, the scatterplot of standardised residual on standardised predicted value did not funnel out or curve, and thus the assumptions of linearity and homoscedasticity have been met as well.

If your assumptions have not been met, you need to dig a bit deeper and understand what this means. A good idea would be to read the chapter on regression (and especially the part about assumptions) written by Andy Field. You can access his book here . This will help you understand all you need to know about the assumptions of a regression analysis, how to test them, and what to do if they have not been met.

Now let’s focus on reporting the results of the actual regression analysis. Let’s say that you wanted to see if participants’ height predicts their self-esteem, after controlling for participants’ weight. You have entered height and weight as predictors in the model and self-esteem as a dependent variable.

First, you need to report whether the model reached significance in predicting self-esteem scores. Look at the results of an ANOVA analysis in your output and note the F value, degrees of freedom for the model and for residuals, and significance level. These values are shown in PICTURE 2.

Significance value tells you if your predictor reached significance – such as whether participants’ height predicted self-esteem scores. You also need to comment upon the β value. This value represents the change in the outcome associated with a unit change in the predictor . Thus, if your β value is .351 for participants’ height (predictor/independent variable), then this means that for every increase in height by 1 cm, self-esteem increases by .35. You need to report the same thing for your other predictor – that is, participants’ weight.

Finally, since your model included both height and weight as predictors, and height acted as a significant predictor, you can conclude that participants’ height influences their self-esteem after controlling for weight.

Reporting the results of a chi-square analysis

For instance, you would do a chi-square analysis when you want to see whether gender (categorical independent variable with two levels: males/females) affects the determination to read a book, when this variable is measured with yes/no answers (categorical dependent variable with two levels: yes/no).

When reporting your results, you should first make a table as shown in TABLE 3 above. Then you need to report the results of a chi-square test, by noting the Pearson chi-square value, degrees of freedom, and significance value. You can see all these in your output.

Finally, you need to report the strength of the association, for which you need to look at the Phi and Cramer’s V values. When each of your variables has only two categories, as in the present example, Phi and Cramer’s V values are identical and it doesn’t matter which one you will report. However, when one of your variables has more than two categories, it is better to report the Cramer’s V value. You report these values by indicating the actual value and the associated significance level.

Note that Cramer’s V value can range from 0 to 1. The closer the value is to 1, the higher the strength of the association. You can report the results of the chi-square analysis in the following way:

Reporting the results of a t-test analysis

Recall that you have previously outlined descriptive statistics for these variables, where you have noted means and standard deviations for males’ and females’ scores on the determination to read the novel (see TABLE 2 above). Now you need to report the obtained t value, degrees of freedom, and significance level – all of which you can see in your results output.

You can say something like:

Reporting the results of one-way ANOVA

In the t-test example, you had two conditions of a categorical independent variable, which corresponded to whether a participant was male or female. You would have three conditions of an independent variable when assessing whether relationship status (independent variable with three levels: single, in a relationship, and divorced) affects the determination to read a romantic novel (as assessed on a 1-10 scale).

Here, you would report the results in a similar manner to that of a t -test. You first report the means and standard deviations on the determination to read the book for all three groups of participants, by saying who had the highest and lowest mean. Then you report the results of the ANOVA test by reporting the F value, degrees of freedom (for within-subjects and between-subjects comparisons), and the significance value.

There are two things to note here. First, before reporting your results, you need to look at your output to see whether the so-called Levene’s test is significant. This test assesses the homogeneity of variance – the assumption being that all comparison groups should have the same variance. If the test is non-significant, the assumption has been met and you are reporting the standard F value.

However, if the test is significant, the assumption has been violated and you need to report instead the Welch statistic, associated degrees of freedom, and significance value (which you will see in your output; for example, see PICTURE 3 above).

The second thing to note is that ANOVA tells you only whether there were significant differences between groups – but if there are differences, it doesn’t tell you where these differences lie. For this, you need to conduct a post-hoc comparison (Tukey’s HSD test). The output will tell you which comparisons are significant.

You can report your results in the following manner:

Reporting the results of ANCOVA

For instance, you will use ANCOVA when you want to test whether relationship status (categorical independent variable with three levels: single, in a relationship, divorced) affects the determination to read a romantic novel (continuous dependent variable, assessed on a 1-10 scale) after controlling for participants’ general interest in books (continuous covariate, assessed on a 1-10 scale).

To report the results, you need to look at the “test of between-subjects effects” table in your output. You need to report the F values, degrees of freedom (for each variable and error), and significance values for both the covariate and the main independent variable. As with ANOVA, a significant ANCOVA doesn’t tell you where the differences lie. For this, you need to conduct planned contrasts and report the associated significance values for different comparisons.

You can report the results in the following manner:

Reporting the results of MANOVA

For instance, you would use MANOVA when testing whether male versus female participants (independent variable) show a different determination to read a romantic novel (dependent variable) and a determination to read a crime novel (dependent variable).

When reporting the results, you first need to notice whether the so-called Box’s test and Levene’s test are significant. These tests assess two assumptions: that there is an equality of covariance matrices (Box’s test) and that there is an equality of variances for each dependent variable (Levene’s test).

Both tests need to be non-significant in order to assess whether your assumptions are met. If the tests are significant, you need to dig deeper and understand what this means. Once again, you may find it helpful to read the chapter by Andy Field on MANOVA, which can be accessed here .

Following this, you need to report your descriptive statistics, as outlined previously. Here, you are reporting the means and standard deviations for each dependent variable, separately for each group of participants. Then you need to look at the results of “multivariate analyses”.

You will notice that you are presented with four statistic values and associated F and significance values. These are labelled as Pillai’s Trace, Wilks’ Lambda, Hotelling’s Trace, and Roy’s Largest Root. These statistics test whether your independent variable has an effect on the dependent variables. The most common practice is to report only the Pillai’s Trace. You report the results in the same manner as reporting ANOVA, by noting the F value, degrees of freedom (for hypothesis and error), and significance value.

However, you also need to report the statistic value of one of the four statistics mentioned above. You can label the Pillai’s Trace statistic with V, the Wilks’ Lambda statistic with A, the Hotelling’s Trace statistic with T, and Roy’s Largest Root statistic with Θ (but you need report only one of them).

Finally, you need to look at the results of the Tests of Between-Subjects Effects (which you will see in your output). These tests tell you how your independent variable affected each dependent variable separately. You report these results in exactly the same way as in ANOVA.

Here’s how you can report all results from MANOVA:

Writing up your qualitative results

Before reporting the results of your qualitative research, you need to recall what type of research you have conducted. The most common types of qualitative research are interviews, observations, and focus groups – and your research is likely to fall into one of these types.

All three types of research are reported in a similar manner. Still, it may be useful if we focus on each of them separately.

Reporting the results of interviews

For example, let’s say that your qualitative research focused on young people’s reasons for smoking. You have asked your participants questions that explored why they started smoking, why they continue to smoke, and why they wish to quit smoking. Since your research was organised in this manner, you already have three major themes: (1) reasons for starting to smoke, (2) reasons for continuing to smoke, and (3) reasons for quitting smoking. You then explore particular reasons why your participants started to smoke, why they continue to smoke, and why they want to quit. Each reason that you identify will act as a subtheme.

When reporting the results, you should organise your text in subsections. Each section should refer to one theme. Then, within each section, you need to discuss the subthemes that you discovered in your data.

Let’s say that you found that young people started smoking because: (1) they thought smoking was cool, (2) they experienced peer pressure, (3) their parents modelled smoking behaviour, (4) they thought smoking reduces stress, and (5) they wanted to try something new. Now you have five subthemes within your “reasons for starting to smoke” theme. What you need to do now is to present the findings for each subtheme, while also reporting quotes that best describe your subtheme. You do that for each theme and subtheme.

It is also good practice to make a table that lists all your themes, subthemes, and associated quotes.

Here’s an example of how to report a quote within a text:

Reporting the results of observations

For instance, you might have noticed that the therapist finds it important to discuss: (1) the origin of the problem, (2) the lack of a patient’s medical difficulties, (3) the experience of stress, (4) the link of stress to the problem, and (5) the new understanding of the problem. You can consider these as themes in your observations.

Accordingly, you will want to report each theme separately. You do this by outlining your observation first (this can be a conversation or a behaviour that you observed), and then commenting upon it.

Here’s an example:

Therapist: Was there something that stressed you out during the last few months?

Patient: Yes, of course. I thought I would lose my job, but that passed. After that, I was breaking up with my girlfriend. But between those things, I was fine.

Therapist: And was there any difference in your symptoms while you were and while you were not stressed?

Patient: Hmmm. Actually yes. Now that I think of it, they were mostly present when I went through those periods.

Therapist: Could it be that stress intensifies your symptoms?

Patient: I never thought of it. I guess it seems logical. Is it?

Reporting the results of focus groups

As an example, let’s say that your focus group dealt with identifying reasons why some people prefer Coca-Cola over Schweppes, and vice versa. You have transcribed your focus group sessions and have extracted themes from the data. You have discovered a wide variety of reasons why people prefer one of the two drinks.

When reporting your results, you should have two sections: one listing reasons for favouring Coca-Cola, and the other listing reasons for favouring Schweppes. Within each section, you need to identify specific reasons for these preferences. You should connect these specific reasons to particular quotes.

Here’s an example of how this may look:

In conclusion…

As we have seen, writing up qualitative results is easier than writing quantitative results. Yet, even reporting statistics is not that hard, especially if you have a good guide to help you.

Hopefully, this guide has reduced your worries and increased your confidence that you can write up the results section of your dissertation without too many difficulties.

How to correctly reference a dissertation

How to finish and format your dissertation

Dissertation writing: publishing a dissertation

• dissertation help
• dissertation research
• dissertation results
• study skills
• writing tips

Writing Services

• Essay Plans
• Critical Reviews
• Literature Reviews
• Presentations
• Dissertation Title Creation
• Dissertation Proposals
• Dissertation Chapters
• PhD Proposals
• Journal Publication
• CV Writing Service
• Business Proofreading Services

Editing Services

• Proofreading Service
• Editing Service
• Academic Editing Service

Additional Services

• Marking Services
• Consultation Calls
• Personal Statements
• Tutoring Services

Our Company

• Frequently Asked Questions
• Become a Writer

Terms & Policies

• Fair Use Policy
• Policy for Students in England
• Privacy Policy
• Terms & Conditions
• [email protected]
• Contact Form

Payment Methods

Cryptocurrency payments.

How to Write the Findings of a Dissertation

After the collection of the data, you need to write the findings of a dissertation. Many students studying in UK University face issues in determining how to start writing the dissertation finding a chapter for a dissertation. They have questions such as when to write dissertation findings, what not to include in the findings chapter etc.  Our professional team is providing the complete guidelines about How to write dissertation findings.

The finding of the dissertation serves the objectives of presenting the key outcomes of research without interpretation of the meaning. It is considered to be one of the most interesting sections of the dissertation. In the dissertation finding chapter you need to include the things which you have observed during the investigation. The main purpose of the finding section in the dissertation is to provide essential and relevant findings of the research.

• You should not include detailed information as it might give rise to confusion and misunderstanding.
• It is important for you to write a dissertation findings chapter in the past tense.

Important guidelines for writing dissertation findings

At the time of start writing the dissertation section, you should provide the background information. It is the tactics that will help the reader in developing an understanding of the dissertation results. You should also repeat the problem statement and also the objectives of the study.  This is one of the best approaches which will help you in developing a positive impression on readers.  The 3 steps of writing the findings for dissertations are:

• Step 1:  At the initial step of writing the dissertation finding chapter you need to identify the outcomes which you intend to present in a specific chapter.
• Step 2:  In the next step, you should first develop a basic understanding of techniques for writing the finding section. It is the strategy that will help you in gaining the knowledge which could be helpful in relation to arranging the specific section in a chronological manner.
• Step 3:  Then after that you need to organize the information in a proper and accurate manner. You can structure your findings chapter of the thesis in a chronological manner. It means that you should begin every paragraph by writing the most crucial outcomes first.

“You can conclude the dissertation findings by writing a short summary of key findings” When writing the dissertation section you should keep in mind that unexpected outcomes can have a significant influence on the investigation”.

Get Special Discount Offers for Assignment Help

When writing the findings chapter of the dissertation?

After collection and analysis of information, you need to start writing the dissertation finding section for the dissertation.  While writing the finding section in the dissertation, you need to relate your observations with a hypothesis or  research questions  that you have to formulate the introduction section. In case you have to write a dissertation by making a collection of primary information then you should present the findings separately. If you are writing the descriptive dissertation then in such a situation you can include the finding chapter with discussion. At the time of writing the findings section of the dissertation, you should emphasize on analyzing the case studies or interpreting the results.

How to report Quantitative Findings?

One best technique to report  quantitative  findings is to arrange them according to the research hypothesis. While presenting the quantitative findings, you need to state the procedure you will execute for analyzing the information.  However, analyzing findings will help you in determining the way findings are related to the research questions. At the time of writing the finding section of the dissertation, you should highlight meaningful relationships. You should include the findings which are not directly related to your findings in the appendix.

You should use charts, graphs for presenting the findings of your dissertation.  The chart charts, graphs or tables which you will include would help the reader in developing the understanding of different patterns. At the time of writing the dissertation finding chapter you should only provide a summary of a few parts of results. You should provide descriptive labels below your tables and charts.

Raise Your Grades With Students Assignment Help.Co.Uk Get Help Instantly

How to report Qualitative Findings?

One of the biggest issues in reporting the qualitative findings is that all the outcomes are relevant to the study.  The best technique to report Qualitative findings is to write the findings according to themes which you have designed after analyzing the information. You should clearly mention the pattern, any developments and independent responses of the participants in the dissertation finding section.

Things to avoid while writing Dissertation Findings

While writing the dissertation finding chapter you should not use interpretive and subjective phrases. You should not use words reveals, suggest, validates, etc. Such terms are more appropriate for the discussion section where you will expect to write an interpretation of outcomes in detail. You should not provide detail findings.

Things to do while writing dissertation findings.

The following things you should keep in mind at the time of writing findings section for the dissertation are:

• You should only include your own research findings. In simple words, it means that you should include only those facts which have been observed during the investigation.
• Researchers can utilize charts and graphs for presenting the data in a systematic manner.
• Investigators can use SPSS, Excel and other software for analyzing information.
• While preparing the findings section for the thesis writing you should first be clear about the organization of your work.
• You should organize and arrange the dissertation findings in such a manner that it makes sense.
• It is very much important for you to include negative outcomes in the dissertation finding section. It is the tactics that will help you in demonstrating the validity of outcomes.

Claim Your 15% OFF Now Submit Assignment Details

Structure of dissertation finding chapter

Appropriate words and phrases should be used for presenting the findings in a systematic manner.  After completion of the dissertation findings chapter, you should confirm that the entire paragraph in a specific section consists of logical sentences and they are properly linked with each other.  One best technique for arranging the dissertation finding section is to first arrange outcome and then provides an explanation of key findings. In simple words, you can provide a brief synopsis.

Another technique is to first present the results and after that provide an explanation for the same.  You can do this for all the results. Secondly, you can write the conclusion of the section by writing overall synopsis.  Such type of structure the researcher uses when they have to write lengthy dissertations that consist of multiple results. You can also write a brief conclusion for linking all results and providing transitions to the dissertation discussion chapter.

Tips for Writing Findings of a Dissertation

Some tips for writing the dissertation findings chapter are: You need to present the result in the proper sequence. There should be clarity in your findings. It is very much important to avoid a lengthy debate while doing the interpretation of outcomes. While writing the dissertation findings chapter, you should mainly concentrate on providing the explanation of observations in a clear and precise manner. The length of the finding chapter is completely based on the type of research and the amount of information. You should not include irrelevant results in the dissertation finding chapter.

From the above article it has been concluded from the above article that the finding section in the dissertation consists of crucial data which is collected through investigation. Another fact which has been discovered from the above is that tables and charts help in presenting the findings in a systematic manner.

Hire Dissertation Writer

Enter Discount Code If You Have, Else Leave Blank

Get 15% off your first order with Students Assignment Help UK

Connect with a professional writer within minutes by placing your first order. No matter the subject, difficulty, academic level or document type, our writers have the skills to complete it.

Recent Reviews

Outstanding economics assignment.

Your experts provided an outstanding economics assignment, ensuring not a single guideline of the University of Exeter was overlooked. I have complete trust in your website and appreciate the consistent quality of your work. Thank you immensely.

Consistently Impressive Results

I’ve entrusted Students Assignment Help with various assignments, and they never fail to impress. Their consistent quality and timely delivery showcase their commitment to excellence. With their assistance, I’ve been able to maintain high academic standards effortlessly. I commend their dedication and highly recommend their services.

Excellent Computer Networking Assignment

I am thoroughly pleased with the computer networking assignment you provided. Studentsassignmenthelp.co.uk far surpasses others claiming to offer quality content but failing to meet student expectations. Thank you for the exceptional assistance with my assignment.

Masterful Case Study Solution

Your assignment help service is truly top-notch. The expert team was attentive, and the case study solution provided was perfect. Thank you for delivering the best solution for my case study, complete with proper references and thorough analysis.

Thankful for Assignment Completion

The engineering assignment writing service I received from your experts was not only affordable but also 100% error-free. I am grateful for your expert help. Thank you for your outstanding work.

Reliable Online Exam Support

I am grateful to have found your website and availed the services of an online exam helper. Your insights into my weak areas and ability to perform under tight time constraints were invaluable. I will definitely recommend your service.

Perfect Assignment Execution

Your experts have consistently delivered flawless assignments, and I now understand why your service is so highly regarded. The plagiarism-free work and adherence to deadlines, along with strict adherence to the academic guidelines, mean a lot to me. Thank you for your exceptional service.

Top-notch Essay Writing Assistance

Your essay writing service is truly the best I’ve come across. I appreciate the attention to detail. Thank you for your excellent work; I will definitely be a returning customer.

Exceptional Case Study Writing Service

I was blown away by the exceptional quality of the case study solution provided by your experts. This was my first experience with your service, and it surpassed all my expectations. The case study was well-written, well-structured, and thoroughly researched. Thank you for your outstanding help.

Outstanding Economics Assignment Support

Your consistent excellence in providing assignment help has never failed to impress me. Your adherence to all the UK universities’ guidelines is greatly appreciated. Thank you for your invaluable assistance.

UPTO 15 % DISCOUNT

Get Your Assignment Completed At Lower Prices

What the History of Boston’s Harbor Can Teach Us about Its Uncertain Future

Rising tides threaten boston’s waterfront, but bu phd candidate genna kane says the city has a history of adaptation and resilience.

Andrew Thurston

Cydney scott.

The Great Molasses Flood is one of history’s unlikeliest disasters. On Wednesday, January 15, 1919, a giant wave of sticky, sweet syrup ripped through the streets of Boston at 35 mph, destroying buildings, throwing vehicles, drowning animals, and killing 21 people and injuring 150.

The wave started on the edge of Boston Harbor, when a massive molasses storage tank—58 feet tall and 98 feet in diameter—burst.

“It’s sometimes regarded like a joke or punchline, or a one-off tragedy,” says Boston University historian Genna Kane.

But she views the flood as more than a gooey quirk in the history books. A PhD candidate in BU’s American & New England Studies Program, Kane (GRS’27) is researching the history of the waterfront for her dissertation and has come to see the tragedy as an important moment in Boston Harbor’s past, emblematic of its shift from a shipping hub to a base for industry. And, she says, its aftermath symbolizes the waterfront’s resiliency and ability to rebuild and adapt—traits the city may need to draw on again to take on future climate change–fueled disasters, like the rising tides that threaten to inundate coastal neighborhoods.

“Even though the explosion was not a ‘natural’ disaster in the way we would think of hurricanes, tornadoes, etc., it caused horrific and unexpected damage to the North End’s infrastructure and built environment,” says Kane. “And the immediate recovery involved reconstruction in ways similar to other environmental disasters.”

In spring 2025, she’ll teach a course on the environmental history of Boston from the 19th century to the present day—and she will lead with the story of the Great Molasses Flood. “I’m using it in the course as an entry point to illustrate the environmental changes—in terms of the waterfront’s landscape, buildings, and overall use—that caused this disaster to happen, but also how the city recovered from that,” she says. 

Kane’s research traces the journey of Boston’s waterfront from its early days as a busy mercantile harbor, through its decades as an industrial center, to its present as a magnet for tourists, high-end housing, and biotech firms. She’s also surveying how the city made itself so vulnerable to sea level changes. Kane’s work was given a boost this spring when she won an Alice Ross Carey Fellowship , which comes with funding and access to the University of California, Berkeley’s Environmental Design Archives .

“I love Boston and, like many residents, I’m very worried about what’s going to happen as climate change continues to impact us—I want to know the roots of this,” says Kane. “I like to think of history as looking to the past for explanation for why we are the way we are. And that can help us better understand what we’re dealing with.”

How Paul Revere Sparked a Revolution—and a Dissertation

Kane grew up deep in rural New Hampshire, but she became fascinated by Boston Harbor’s starring role in the city’s history thanks to one man: Paul Revere.

In 1770, Revere moved his growing family into a two-story wooden house at the heart of Boston’s North End neighborhood. In just five years, the silversmith (and sometime dentist) would gallop from the home and into the history books: his midnight ride to warn his fellow patriots that the British were coming made him an icon of the American Revolution.

Today, Revere’s former home is a National Historic Landmark, with lively museum interpreters spinning historical tales to tourists eager to touch the past. Before starting graduate school, Kane was one of those guides, and she would often find herself answering the same questions: Why did Revere choose to live in the North End? Why was he picked to make that famous ride?

“I found that pretty much every question I was answering led back to the waterfront,” says Kane, who recently won a BU Center for the Humanities internship award that she’ll use to advise a Concord Museum exhibition on the revolution. “Paul Revere had a lot of different businesses and his silversmithing shop was located on Clark’s Wharf [at the tip of the North End]. That’s because the engine of Boston’s growth was the waterfront—anytime someone wanted to sell something, transport it, import any good, the waterfront is the way they would do it.” Even Revere’s dash to Concord relied on access to the water: the former artillery lieutenant rushed from his home “to the North part of the Town, Where I had kept a Boat,” so he could cross the Charles River.

The waterfront is a very clear way to see what drove Boston’s economic and political growth, but also what Boston has struggled with. The harbor is what defines Boston in a lot of ways. Genna Kane

Kane’s time as a museum guide—she also had stints at the Old North Church and John Fitzgerald Kennedy National Historic Site—inspired her to learn even more about Boston’s past. “Those jobs were really why I wanted to pursue graduate education and history,” she says. And all those questions that led back to the waterfront—plus her own interest in environmental issues—helped inspire her dissertation’s focus. “The waterfront is a very clear way to see what drove Boston’s economic and political growth, but also what Boston has struggled with. The harbor is what defines Boston in a lot of ways.”

From Industry to Tourism to Biotech

Kane’s doctoral research starts with a period about 80 years after Revere moved—and when Boston’s position as a maritime power was foundering and its city leaders were scrambling for new ways to spark growth.

“They were worried the infrastructure in Boston would not provide economic opportunities,” says Kane. “So, they built Atlantic Avenue to facilitate railroad access. All of a sudden, there was this massive road that segmented the waterfront from the rest of the city.” It still does: anyone wanting to make it from downtown to the water today needs to cross four lanes of Atlantic Avenue traffic.

Over the late 19th and early 20th centuries, rail links attracted disparate industries—cold storage facilities, power plants, a molasses distiller—to the newly dislocated waterfront. But almost all of them had one thing in common: they required coal. And that became a lynchpin in Boston’s economy, says Kane.

“When Boston was struggling to find a productive export and bring in a lot of maritime traffic, one thing that was very prolific and profitable was coal,” she says. “I’m arguing that the waterfront is a major part of our current dependence on fossil fuels. If we look at the spaces that are now most threatened by climate change, they were once the major infrastructure for facilitating fossil economies, which ultimately results in the current situation we have with global warming and climate change.”

I’m arguing that the waterfront is a major part of our current dependence on fossil fuels. If we look at the spaces that are now most threatened by climate change, they were once the major infrastructure for facilitating fossil economies. Genna Kane

As those industries faded after World War II, Boston’s waterfront became a mixture of crumbling warehouses and sprawling parking lots. In the 1960s and ’70s, Boston’s leaders made another play at reinvention, turning their focus to the tourist industry—revamping Quincy Market, building the New England Aquarium. Today, hospitality is a major part of the city’s economy, but the waterfront is also going through another renewal, too, with neglected buildings and railroad lots being transformed into sleek offices for tech and biotech companies.

It’s a history Kane is compiling through archives and architectural plans, as well as by talking to city planners and other experts about how Boston and its people have shaped their waterfront—and how it has shaped them.

“Other folks have either looked at different parts of the harbor or certain areas—the made land or certain architectural projects—but very few have tried to look at the entire waterfront as a whole,” says Kane, who will spend part of the summer as a Charles River Watershed Association development intern, where she’ll help with climate resiliency education and outreach. “The waterfront answers many questions about what makes Boston tick.” She hopes her research shines a particular light on the Bostonians impacted by generations of changes to the waterfront—the laborers toiling in industry, the working-class residents affected by pollution.

Rising Tides

The water lapping serenely at Boston’s harbor walls shaped the city’s past—but could swamp its future.

According to figures shared by the state , by 2030 Massachusetts could face a sea level rise of up to 1.1 feet over 2000 levels; by 2070, the rise could be as high as 4.2 feet. At that point, a kayak rather than a car will be needed to negotiate Boston’s waterfront neighborhoods, particularly the burgeoning Seaport District , built on former industrial land.

“In the early 2000s, the Seaport District was mostly parking lots, and Boston was looking for a new industry, a new driving source of economic growth—and that was the tech industry, especially biotech by the 2010s,” says Kane. “If you needed to build in downtown Boston, wouldn’t you want to build in an area with relatively little development? It made sense at the time.”

It may make less sense in 2070, but if the future looks uncertain for Boston’s waterfront, perhaps the past can bring some hope. After all, says Kane, the infamous dirty water of the industrial-era harbor is mostly swimmable today. “The cleanup of the harbor in the 1980s and ’90s is a massive environmental success story,” she says.

Reinvention after reinvention, Boston’s waterfront persists. And though she’s in the early stages of her dissertation, Kane says her findings already highlight the tenacious spirit of Boston and its residents.

“The past doesn’t necessarily dictate the future,” she says, “but it’s a way to say, ‘We’ve done this before, we can do it again.’”

Explore Related Topics:

• Climate Change
• Environment & Ecology
• Share this story
• 0 Comments Add

Editor, The Brink Twitter Profile

Andrew Thurston is originally from England, but has grown to appreciate the serial comma and the Red Sox, while keeping his accent (mostly) and love of West Ham United. He joined BU in 2007, and is the editor of the University’s research news site, The Brink ; he was formerly director of alumni publications. Before joining BU, he edited consumer and business magazines, including for corporations, nonprofits, and the UK government. His work has won awards from the Council for Advancement and Support of Education, the In-House Agency Forum, Folio: , and the British Association of Communicators in Business. Andrew has a bachelor’s degree in English and related literature from the University of York. Profile

Photojournalist

Cydney Scott has been a professional photographer since graduating from the Ohio University VisCom program in 1998. She spent 10 years shooting for newspapers, first in upstate New York, then Palm Beach County, Fla., before moving back to her home city of Boston and joining BU Photography. Profile

Comments & Discussion

Boston University moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, self-promotional, misleading, incoherent or off-topic comments will be rejected. Moderators are staffed during regular business hours (EST) and can only accept comments written in English. Statistics or facts must include a citation or a link to the citation.

Post a comment. Cancel reply

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

Latest from The Brink

Eng’s mark grinstaff one of six researchers to receive nsf trailblazer engineering impact awards, how do we solve america’s affordable housing crisis bu research helps inspire a federal bill that suggests answers, missile defense won’t save us from growing nuclear arsenals, this ai software can make diagnosing dementia easier and faster for doctors, suicide now the primary cause of death among active duty us soldiers, state laws banning abortion linked to increases in mental health issues, scuba diving safely for marine biology research, heat waves are scorching boston, but are some neighborhoods hotter than others, six bu researchers win prestigious early-career award to advance their work, new ai program from bu researchers could predict likelihood of alzheimer’s disease, being open about lgbtq+ identities in the classroom creates positive learning environments, should schools struggling with classroom management clamp down with more suspensions or turn to restorative justice, getting police officers to trust implicit bias training, the solar system may have passed through dense interstellar cloud 2 million years ago, altering earth’s climate, air quality sensors could be coming to a bicycle near you, airplane noise may be bad for your health, bu researcher named a 2024 hertz fellow; award honors “innovators with the greatest potential”, is ai biased against some groups and spreading misinformation and extreme views, 3d printing robot uses ai machine learning for us army research.