how to present data in thesis

How to Write an Impressive Thesis Results Section

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

What is the thesis results section?

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

What should the thesis results section include?

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

What should the thesis results section not include?

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

How should the thesis results section be organized?

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

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

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

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

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

For each theme presented, describe:

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

Relevant characteristics about your study subjects

Differences among the results section in different fields of research

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

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

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

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

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

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

Best practices for using tables and figures

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

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

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

General guidelines for figures and tables

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

Figure guidelines

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

Table guidelines

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

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

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

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

Tips for writing the thesis results section

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

Results vs. discussion vs. conclusion

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

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

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

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Review Checklist

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

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

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

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

Have you used  tables and figures to present all results?

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

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

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How to Write the Dissertation Findings or Results – Tips

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

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

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

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

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

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

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

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

When to Write Dissertation Findings Chapter

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

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

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

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

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1. Reporting Quantitative Findings

The best way to present your quantitative findings is to structure them around the research  hypothesis or  questions you intend to address as part of your dissertation project.

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

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

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

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

Use of Figures and Tables in Dissertation Findings

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

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

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

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

How to Report Quantitative Findings

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

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

Paired Samples

Paired Samples Correlation

Paired Samples Test

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

2. Reporting Qualitative Findings

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

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

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

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

How to Report Qualitative Findings

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

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

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What to Avoid in Dissertation Findings Chapter

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

The Do’s of Writing the Findings or Results Section

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

Essential Guidelines on How to Write Dissertation Findings

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

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

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

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

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

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

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

Be Impartial in your Writing

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

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

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

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

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

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

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

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

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

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

Structure of the Findings Chapter

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

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

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

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

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

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

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

Problems to Avoid When Writing Dissertation Findings

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

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

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

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

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

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

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

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

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

FAQs About Findings of a Dissertation

How do i report quantitative findings.

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

How do I report qualitative findings?

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

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

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

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

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

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

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

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Creating an Effective Thesis Outline: A Step-by-Step Guide

Creating a thesis outline might seem like a big job, but it makes the whole writing process a lot easier. This guide will show you each step to make a good thesis outline. From understanding why you need an outline to avoiding common mistakes, this article will help you stay organized and focused. By following these steps, you can make a strong outline that will guide your research and writing.

Key Takeaways

• A thesis outline helps you organize your thoughts and makes the writing process smoother.
• Start with initial research to find key themes and questions for your thesis.
• Structure your outline logically to ensure a clear flow of ideas.
• Revise your outline regularly to make sure it stays relevant and focused.
• Avoid common pitfalls like overloading with information or ignoring feedback.

Understanding the Purpose of a Thesis Outline

Creating a thesis outline is a crucial step in the academic writing process. It serves as a roadmap for your research , helping you organize your thoughts and structure your work logically . This section will delve into the purpose of a thesis outline, its importance in academic writing , and how it guides the research process.

Preliminary Steps Before Creating a Thesis Outline

Before diving into the creation of your thesis outline, it's essential to take some preliminary steps. These steps will lay a solid foundation for your research and ensure that your outline is both comprehensive and effective.

Structuring Your Thesis Outline

Creating a well-organized thesis outline is crucial for a successful thesis. It helps you structure your thoughts and ensures a logical flow of information. Here are the key steps to structuring your thesis outline effectively :

Choosing the Right Format

Selecting the appropriate format for your thesis outline is the first step. Common formats include alphanumeric, decimal, and full-sentence outlines. Choose a format that best suits your research and writing style. This decision will guide the organization of your major sections and sub-sections.

Organizing Major Sections

Divide your thesis into major sections such as the introduction, literature review, methodology, results, discussion, and conclusion. Each section should have a clear purpose and contribute to your overall thesis argument. Use headings and subheadings to break down each section into manageable parts.

Ensuring Logical Flow

A logical flow is essential for maintaining the reader's interest and understanding. Arrange your sections and sub-sections in a way that naturally progresses from one idea to the next. This will help you build a coherent argument and make your thesis more persuasive.

By following these steps, you can create a structured and effective thesis outline that will serve as a roadmap for your research and writing process.

Developing the Introduction Section

Crafting a compelling opening.

Your introduction should grab the reader's attention right from the start. Use a hook, such as a surprising fact or a thought-provoking question, to draw them in. This section sets the stage for your entire thesis, so make it engaging and relevant.

Presenting the Research Question

Clearly state the research question your thesis aims to answer. This question will guide your entire study and keep you focused. Make sure it is specific and researchable.

Outlining the Scope and Objectives

Provide an overview of the scope of your research. Explain what you will cover and what you will not. This helps set clear boundaries for your study. Additionally, outline the main objectives you aim to achieve with your research. Setting clear objectives will help you stay on track and ensure your research is focused and relevant.

Outlining the Literature Review

Summarizing Existing Research

When outlining your literature review , start by summarizing the existing research related to your topic. This involves gathering and synthesizing information from various sources, such as books, journal articles, and online databases. A well-summarized literature review provides a comprehensive overview of what has been done in your field and highlights the key findings and methodologies used by other researchers.

Identifying Research Gaps

After summarizing the existing research, the next step is to identify the gaps in the literature. These gaps represent areas where further research is needed and can help you position your study within the broader academic context. Look for questions that have not been answered or areas that have not been explored in depth. Identifying these gaps will not only justify the need for your research but also guide your research questions and objectives.

Establishing Theoretical Frameworks

Finally, establish the theoretical frameworks that will underpin your study. This involves selecting and discussing the theories and models that are relevant to your research topic. The theoretical framework provides a foundation for your study and helps to explain the relationships between different variables. By clearly outlining the theoretical frameworks, you can ensure that your research is grounded in established knowledge and contributes to the ongoing academic discourse.

Detailing the Methodology

Selecting research methods.

Choosing the right research methods is crucial for the success of your thesis. Start by deciding whether your study will be qualitative, quantitative, or a mix of both. Qualitative methods often include interviews and observations, while quantitative methods might involve surveys and experiments. Your choice should align with your research objectives and the type of data you need to collect.

Justifying Methodological Choices

Once you have selected your methods, it's important to justify why these methods are appropriate for your study. Explain how they will help you answer your research questions and achieve your objectives. This step is vital for gaining approval from stakeholders and ensuring the success of your project.

Describing Data Collection and Analysis

Detail the process of data collection and analysis . Describe the tools and techniques you will use, such as surveys, interviews, or software for data analysis. Make sure to explain how you will ensure the reliability and validity of your data. This section should provide a clear roadmap of how you will gather and interpret your data, ensuring that your research is both credible and replicable.

Presenting Research Findings

Organizing data logically.

When presenting your research findings, it's crucial to organize your data in a logical manner. This can be done by structuring your findings around key questions, hypotheses, or the overall structure of your study. Clear organization helps your audience understand your results without confusion. Consider using tables to present quantitative data succinctly.

Highlighting Key Results

Focus on the most significant results of your research. Highlight these key findings to ensure they stand out to your readers. This not only emphasizes the importance of your work but also makes it easier for others to grasp the core contributions of your study. Remember, clarity is essential in effective communication.

Using Visual Aids Effectively

Visual aids such as charts, graphs, and tables can greatly enhance the presentation of your research findings. They provide a visual representation of your data, making complex information more accessible. Ensure that your visual aids are well-labeled and directly related to the findings you are discussing. This will help in stripping the dread from data interpretation for your audience.

Analyzing and Discussing Results

Interpreting findings.

When you interpret your findings, you need to connect your analysis to your research questions and hypotheses. This involves making sense of statistical significance and drawing meaningful conclusions. Interpreting your findings helps you understand the broader implications of your research and how it contributes to the existing body of knowledge.

Comparing with Existing Literature

To provide context for your results, compare them with similar studies mentioned in your literature review. Highlight whether your findings align with or differ from previous research. This comparison can help validate your results and show how your work fits into the larger academic conversation.

Discussing Implications

Discuss the broader implications of your findings. Consider how they impact your field of study and what they mean for future research. This section should also address any limitations of your study and suggest areas for further investigation. By doing so, you demonstrate the significance of your research and its potential to influence future work.

Concluding Your Thesis

Summarizing key points.

In the conclusion, you should summarize the key points of your research. This involves revisiting the main arguments and findings discussed in your thesis. By doing so, you provide a clear and concise overview of your work, ensuring that the reader understands the significance of your research.

Restating the Thesis Statement

Restate your thesis statement in a fresh way , reflecting on how your research has supported or challenged it. This is crucial for reinforcing the main idea of your thesis and demonstrating how your work contributes to the broader field of study. Remember, a well-restated thesis can leave a lasting impression on your readers.

Suggesting Areas for Future Research

Finally, suggest areas for future research. Identify any gaps or limitations in your study and propose how future research can address these issues. This not only highlights the importance of your work but also encourages further exploration and development in your field.

Revising and Refining the Outline

Seeking feedback.

Before finalizing your thesis outline, it's crucial to seek feedback from your advisor or peers. They can provide valuable insights and identify areas that may need improvement. Don't hesitate to ask for their opinions on the structure and content of your outline. This step ensures that your outline is clear and logical.

Making Necessary Adjustments

After receiving feedback, take the time to make necessary adjustments. This may involve reorganizing sections, adding or removing content, or clarifying certain points. A reverse outline can be particularly helpful in this stage. It involves outlining an existing draft to assess its structure and coherence. This technique allows you to see if your ideas flow logically and if any sections need further development.

Ensuring Cohesion and Coherence

Finally, ensure that your outline is cohesive and coherent. Each section should connect logically to the next, and your main points should be clearly articulated. Use a checklist to verify that your outline meets these criteria. This step is essential for creating a well-structured thesis that effectively communicates your research findings.

Common Pitfalls to Avoid

Overloading with information.

One common mistake is trying to include too much information. This can make your thesis overwhelming and difficult to follow. Focus on the most relevant data and arguments to support your thesis statement. Remember, quality over quantity is key.

Lack of Clear Focus

A thesis that lacks a clear focus can confuse readers and weaken your argument. Make sure your thesis statement is specific and that each section of your outline directly supports it. Staying focused will help you create a more compelling and coherent thesis.

Ignoring Feedback

Feedback from advisors and peers is invaluable. Ignoring it can lead to missed opportunities for improvement. Take the time to consider and incorporate constructive criticism . This will not only enhance the quality of your thesis but also help you grow as a researcher.

Writing a thesis can be tricky, and many students fall into common traps. Don't let stress and confusion hold you back. Our step-by-step Thesis Action Plan is here to guide you through every stage. Ready to make your thesis journey smoother? Visit our website to learn more and get started today!

Creating an effective thesis outline is a vital step in the thesis writing process. It helps you organize your thoughts, stay focused, and ensure that your research is thorough and well-structured. By breaking down your thesis into manageable sections, you can tackle each part with confidence and clarity. Remember, a well-crafted outline not only makes the writing process smoother but also enhances the overall quality of your thesis. Stay dedicated, seek guidance when needed, and take pride in your progress. With a solid outline, you are well on your way to producing a compelling and academically rigorous thesis.

Frequently Asked Questions

Why do i need a thesis outline.

A thesis outline helps you organize your ideas and ensures your writing is structured and focused. It breaks your project into smaller, manageable parts, making the writing process faster and less stressful.

What should I do before creating a thesis outline?

Before creating a thesis outline, conduct initial research, identify key themes and questions, and set clear objectives for your study.

How should I structure my thesis outline?

Your thesis outline should include the major sections: introduction, literature review, methodology, research findings, discussion, and conclusion. Ensure each section flows logically into the next.

What is the best way to start the introduction section?

Start your introduction with a compelling opening, present your research question, and outline the scope and objectives of your thesis.

How do I organize the literature review?

Organize your literature review by summarizing existing research, identifying research gaps, and establishing theoretical frameworks relevant to your study.

What should I include in the methodology section?

In the methodology section, describe your research methods, justify your methodological choices, and explain how you collected and analyzed your data.

How can I present my research findings effectively?

Present your research findings by organizing data logically, highlighting key results, and using visual aids like charts and graphs to make the information clear and engaging.

What should I do if I get stuck while writing my thesis?

If you get stuck, take a break, seek feedback from peers or advisors, and revisit your outline to ensure your thesis remains focused and coherent.

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How To Write The Results/Findings Chapter

For qualitative studies (dissertations & theses).

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

So, you’ve collected and analysed your qualitative data, and it’s time to write up your results chapter. But where do you start? In this post, we’ll guide you through the qualitative results chapter (also called the findings chapter), step by step. 

Overview: Qualitative Results Chapter

• What (exactly) the qualitative results chapter is
• What to include in your results chapter
• How to write up your results chapter
• A few tips and tricks to help you along the way
• Free results chapter template

What exactly is the results chapter?

The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods ). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and discuss its meaning), depending on your university’s preference.  We’ll treat the two chapters as separate, as that’s the most common approach.

In contrast to a quantitative results chapter that presents numbers and statistics, a qualitative results chapter presents data primarily in the form of words . But this doesn’t mean that a qualitative study can’t have quantitative elements – you could, for example, present the number of times a theme or topic pops up in your data, depending on the analysis method(s) you adopt.

Adding a quantitative element to your study can add some rigour, which strengthens your results by providing more evidence for your claims. This is particularly common when using qualitative content analysis. Keep in mind though that qualitative research aims to achieve depth, richness and identify nuances , so don’t get tunnel vision by focusing on the numbers. They’re just cream on top in a qualitative analysis.

So, to recap, the results chapter is where you objectively present the findings of your analysis, without interpreting them (you’ll save that for the discussion chapter). With that out the way, let’s take a look at what you should include in your results chapter.

What should you include in the results chapter?

As we’ve mentioned, your qualitative results chapter should purely present and describe your results , not interpret them in relation to the existing literature or your research questions . Any speculations or discussion about the implications of your findings should be reserved for your discussion chapter.

In your results chapter, you’ll want to talk about your analysis findings and whether or not they support your hypotheses (if you have any). Naturally, the exact contents of your results chapter will depend on which qualitative analysis method (or methods) you use. For example, if you were to use thematic analysis, you’d detail the themes identified in your analysis, using extracts from the transcripts or text to support your claims.

While you do need to present your analysis findings in some detail, you should avoid dumping large amounts of raw data in this chapter. Instead, focus on presenting the key findings and using a handful of select quotes or text extracts to support each finding . The reams of data and analysis can be relegated to your appendices.

While it’s tempting to include every last detail you found in your qualitative analysis, it is important to make sure that you report only that which is relevant to your research aims, objectives and research questions .  Always keep these three components, as well as your hypotheses (if you have any) front of mind when writing the chapter and use them as a filter to decide what’s relevant and what’s not.

Need a helping hand?

How do I write the results chapter?

Now that we’ve covered the basics, it’s time to look at how to structure your chapter. Broadly speaking, the results chapter needs to contain three core components – the introduction, the body and the concluding summary. Let’s take a look at each of these.

Section 1: Introduction

The first step is to craft a brief introduction to the chapter. This intro is vital as it provides some context for your findings. In your introduction, you should begin by reiterating your problem statement and research questions and highlight the purpose of your research . Make sure that you spell this out for the reader so that the rest of your chapter is well contextualised.

The next step is to briefly outline the structure of your results chapter. In other words, explain what’s included in the chapter and what the reader can expect. In the results chapter, you want to tell a story that is coherent, flows logically, and is easy to follow , so make sure that you plan your structure out well and convey that structure (at a high level), so that your reader is well oriented.

The introduction section shouldn’t be lengthy. Two or three short paragraphs should be more than adequate. It is merely an introduction and overview, not a summary of the chapter.

Pro Tip – To help you structure your chapter, it can be useful to set up an initial draft with (sub)section headings so that you’re able to easily (re)arrange parts of your chapter. This will also help your reader to follow your results and give your chapter some coherence.  Be sure to use level-based heading styles (e.g. Heading 1, 2, 3 styles) to help the reader differentiate between levels visually. You can find these options in Word (example below).

Section 2: Body

Before we get started on what to include in the body of your chapter, it’s vital to remember that a results section should be completely objective and descriptive, not interpretive . So, be careful not to use words such as, “suggests” or “implies”, as these usually accompany some form of interpretation – that’s reserved for your discussion chapter.

The structure of your body section is very important , so make sure that you plan it out well. When planning out your qualitative results chapter, create sections and subsections so that you can maintain the flow of the story you’re trying to tell. Be sure to systematically and consistently describe each portion of results. Try to adopt a standardised structure for each portion so that you achieve a high level of consistency throughout the chapter.

For qualitative studies, results chapters tend to be structured according to themes , which makes it easier for readers to follow. However, keep in mind that not all results chapters have to be structured in this manner. For example, if you’re conducting a longitudinal study, you may want to structure your chapter chronologically. Similarly, you might structure this chapter based on your theoretical framework . The exact structure of your chapter will depend on the nature of your study , especially your research questions.

As you work through the body of your chapter, make sure that you use quotes to substantiate every one of your claims . You can present these quotes in italics to differentiate them from your own words. A general rule of thumb is to use at least two pieces of evidence per claim, and these should be linked directly to your data. Also, remember that you need to include all relevant results , not just the ones that support your assumptions or initial leanings.

In addition to including quotes, you can also link your claims to the data by using appendices , which you should reference throughout your text. When you reference, make sure that you include both the name/number of the appendix , as well as the line(s) from which you drew your data.

As referencing styles can vary greatly, be sure to look up the appendix referencing conventions of your university’s prescribed style (e.g. APA , Harvard, etc) and keep this consistent throughout your chapter.

Section 3: Concluding summary

The concluding summary is very important because it summarises your key findings and lays the foundation for the discussion chapter . Keep in mind that some readers may skip directly to this section (from the introduction section), so make sure that it can be read and understood well in isolation.

In this section, you need to remind the reader of the key findings. That is, the results that directly relate to your research questions and that you will build upon in your discussion chapter. Remember, your reader has digested a lot of information in this chapter, so you need to use this section to remind them of the most important takeaways.

Importantly, the concluding summary should not present any new information and should only describe what you’ve already presented in your chapter. Keep it concise – you’re not summarising the whole chapter, just the essentials.

Tips for writing an A-grade results chapter

Now that you’ve got a clear picture of what the qualitative results chapter is all about, here are some quick tips and reminders to help you craft a high-quality chapter:

• Your results chapter should be written in the past tense . You’ve done the work already, so you want to tell the reader what you found , not what you are currently finding .
• Make sure that you review your work multiple times and check that every claim is adequately backed up by evidence . Aim for at least two examples per claim, and make use of an appendix to reference these.
• When writing up your results, make sure that you stick to only what is relevant . Don’t waste time on data that are not relevant to your research objectives and research questions.
• Use headings and subheadings to create an intuitive, easy to follow piece of writing. Make use of Microsoft Word’s “heading styles” and be sure to use them consistently.
• When referring to numerical data, tables and figures can provide a useful visual aid. When using these, make sure that they can be read and understood independent of your body text (i.e. that they can stand-alone). To this end, use clear, concise labels for each of your tables or figures and make use of colours to code indicate differences or hierarchy.
• Similarly, when you’re writing up your chapter, it can be useful to highlight topics and themes in different colours . This can help you to differentiate between your data if you get a bit overwhelmed and will also help you to ensure that your results flow logically and coherently.

If you have any questions, leave a comment below and we’ll do our best to help. If you’d like 1-on-1 help with your results chapter (or any chapter of your dissertation or thesis), check out our private dissertation coaching service here or book a free initial consultation to discuss how we can help you.

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22 Comments

This was extremely helpful. Thanks a lot guys

Hi, thanks for the great research support platform created by the gradcoach team!

I wanted to ask- While “suggests” or “implies” are interpretive terms, what terms could we use for the results chapter? Could you share some examples of descriptive terms?

I think that instead of saying, ‘The data suggested, or The data implied,’ you can say, ‘The Data showed or revealed, or illustrated or outlined’…If interview data, you may say Jane Doe illuminated or elaborated, or Jane Doe described… or Jane Doe expressed or stated.

I found this article very useful. Thank you very much for the outstanding work you are doing.

What if i have 3 different interviewees answering the same interview questions? Should i then present the results in form of the table with the division on the 3 perspectives or rather give a results in form of the text and highlight who said what?

I think this tabular representation of results is a great idea. I am doing it too along with the text. Thanks

That was helpful was struggling to separate the discussion from the findings

this was very useful, Thank you.

Very helpful, I am confident to write my results chapter now.

It is so helpful! It is a good job. Thank you very much!

Very useful, well explained. Many thanks.

Hello, I appreciate the way you provided a supportive comments about qualitative results presenting tips

I loved this! It explains everything needed, and it has helped me better organize my thoughts. What words should I not use while writing my results section, other than subjective ones.

Thanks a lot, it is really helpful

Thank you so much dear, i really appropriate your nice explanations about this.

Thank you so much for this! I was wondering if anyone could help with how to prproperly integrate quotations (Excerpts) from interviews in the finding chapter in a qualitative research. Please GradCoach, address this issue and provide examples.

what if I’m not doing any interviews myself and all the information is coming from case studies that have already done the research.

Very helpful thank you.

This was very helpful as I was wondering how to structure this part of my dissertation, to include the quotes… Thanks for this explanation

This is very helpful, thanks! I am required to write up my results chapters with the discussion in each of them – any tips and tricks for this strategy?

For qualitative studies, can the findings be structured according to the Research questions? Thank you.

Do I need to include literature/references in my findings chapter?

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Tables in your dissertation

Published on November 2, 2016 by Kirsten Dingemanse . Revised on January 31, 2020.

Dissertations and theses often include tables. One advantage of tables is that they allow you to present data in a clear and concise manner without having to provide a lengthy explanation in the text. This is particularly helpful in sections such as your results chapter.

Table of contents

Step 1. decide where to insert a table, step 2. create your table, example of a table in apa style, step 3. assign your table a number and title, step 4. clarify your table with a note (optional), step 5. cite the table within the text, where should you add a table.

Tables are often included in the main body of a dissertation, so that readers can view them straight away. In this case, place the table immediately above or below the paragraph in which you introduce or refer to it.

If you are not allowed to include tables within your main text or your tables are very long, you can instead put them in an appendix to your dissertation. However, bear in mind that doing so might make your text less readable, as readers will always have to turn to an appendix . It’s thus better to include at least key tables in the main document.

Be careful. Never directly import tables from a statistical analysis program such as SPSS, as these tables provide too much detailed information. For instance, if you just want to report the results of a t-test from SPSS, your table likely does not need to include figures related to the standard mean error.

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All word processing programs include an option to create a table. For example, in Word’s top menu bar you can either click on the “Table” tab or select Insert -> Table -> New.

To keep your tables consistent, it’s important that you use the same formatting throughout your dissertation. For example, make sure that you always use the same line spacing (e.g., single vs. double), that the data is aligned the same way (namely center, left or right) and that your column and row headings always reflect the same style same (for example, bold).

If you are using Word, you can also opt to use one of the program’s pre-set table styles. Doing so will ensure that all of the tables throughout your dissertation have the same formatting. You can apply one of these styles by selecting the table and then selecting one of the preformatted “Table Styles.”

For examples of tables in MLA format , check our guide here .

Once you have decided where to incorporate a table, assign it a number (which should then be noted at the top of the table). Different numbering schemes can be used, but the easiest is to just use Table 1, Table 2 and so forth. Numbers will allow you to easily refer to the correct table within the text.

You can also set a table up so that Word automatically assigns it a number. We recommend that you do this, as it will ensure that your table numbers are always correct. For instance, if you add a new table in the middle of your dissertation, Word will automatically adjust the table numbers throughout the rest of the document. Using this Word feature also makes it easy to generate a list of tables .

Automatically numbering tables

To use automatic numbering, click on the tab ‘Reference’ and select ‘Insert Caption’.

Titling tables

It is important that you always give each table a title. If you use automatic table numbering, a table’s title will automatically be noted after its number.

A table title should be clear and comprehensive enough that it does not need to be explained in the text. Readers should be able to understand what a table contains solely on the basis of its title.

Make sure you also follow any title specifications that either your academic program or the citation style you are using dictates. For instance, in APA Style it is customary to put a table’s title under its number.

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A note can be used for information that helps to clarify the data in a table. For example, you can specify p-values, define abbreviations or explain further details related to a particular row or column. If you don’t have anything special to convey (and the table is your own creation), you don’t need to include a note.

Table from another source

If you have taken a table from another source, it’s mandatory that you explain this in a note. However, how this should be done varies by citation style . Below we explain how you should handle a table from another source according to the APA Style .

The APA Style specifies that you should write “Reprinted from” or “Adapted from” followed by the title and complete source information of the book or article that you have taken the table from.

It is important that you always refer to your table in the text. This helps readers to understand why the table is included and ensures that you don’t have any “free-floating” tables in your dissertation. All tables should have a clear function.

When citing a table in your running text, mention the table’s number instead of using phrases such as “the table below” (which can create confusion for your readers).

A numbered table in the main document

The table below shows that…

Table 1 shows that…

When referring to a table in an appendix, include both the table number and the appendix number.

A numbered table in the appendix

Table 2 (see Appendix 1) shows that…

There is evidence that… (see Table 2, Appendix 1)

Cross-references

If you automate the numbering of your tables, you can choose to apply cross-references. This feature creates links in your text that lead directly to the corresponding table when clicked. The advantage of this is that the numbering is always correct.

In Word, cross-referencing can be activated by selecting Insert ->  Cross-Reference from the top menu bar. From there set the “Reference type” to “Table” and “Insert reference to” to whatever you wish to include (for example, the entire caption or only the table’s name and number). Then select the table to which you want to link and click “Insert”.

Checklist: Tables

Each table has a number.

Each table has a clear, descriptive title.

All tables are consistently formatted according to my style guide or department’s requirements.

The content of each table is clearly understandable in its own right.

I have referred to each table in the main text.

I have correctly cited the source of any tables reproduced or adapted from other authors.

Your tables look great! Use the other checklists to improve your thesis or dissertation.

Cite this Scribbr article

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

Dingemanse, K. (2020, January 31). Tables in your dissertation. Scribbr. Retrieved August 30, 2024, from https://www.scribbr.com/tips/tables-in-your-dissertation/

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Harvard University Program on Survey Research

• How to Frame and Explain the Survey Data Used in a Thesis

Surveys are a special research tool with strengths, weaknesses, and a language all of their own. There are many different steps to designing and conducting a survey, and survey researchers have specific ways of describing what they do.

This handout, based on an annual workshop offered by the Program on Survey Research at Harvard, is geared toward undergraduate honors thesis writers using survey data.

PSR Resources

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• Sampling, Coverage, and Nonresponse Tip Sheet
• Introduction to Surveys for Honors Thesis Writers
• PSR Introduction to the Survey Process
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• General Survey Reference
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11 Tips For Writing a Dissertation Data Analysis

Since the evolution of the fourth industrial revolution – the Digital World; lots of data have surrounded us. There are terabytes of data around us or in data centers that need to be processed and used. The data needs to be appropriately analyzed to process it, and Dissertation data analysis forms its basis. If data analysis is valid and free from errors, the research outcomes will be reliable and lead to a successful dissertation. 

So, in today’s topic, we will cover the need to analyze data, dissertation data analysis, and mainly the tips for writing an outstanding data analysis dissertation. If you are a doctoral student and plan to perform dissertation data analysis on your data, make sure that you give this article a thorough read for the best tips!

What is Data Analysis in Dissertation?

Even f you have the data collected and compiled in the form of facts and figures, it is not enough for proving your research outcomes. There is still a need to apply dissertation data analysis on your data; to use it in the dissertation. It provides scientific support to the thesis and conclusion of the research.

Data Analysis Tools

There are plenty of indicative tests used to analyze data and infer relevant results for the discussion part. Following are some tests  used to perform analysis of data leading to a scientific conclusion:

11 Most Useful Tips for Dissertation Data Analysis

Doctoral students need to perform dissertation data analysis and then dissertation to receive their degree. Many Ph.D. students find it hard to do dissertation data analysis because they are not trained in it.

1. Dissertation Data Analysis Services

The first tip applies to those students who can afford to look for help with their dissertation data analysis work. It’s a viable option, and it can help with time management and with building the other elements of the dissertation with much detail.

Dissertation Analysis services are professional services that help doctoral students with all the basics of their dissertation work, from planning, research and clarification, methodology, dissertation data analysis and review, literature review, and final powerpoint presentation.

One great reference for dissertation data analysis professional services is Statistics Solutions , they’ve been around for over 22 years helping students succeed in their dissertation work. You can find the link to their website here .

Following are some helpful tips for writing a splendid dissertation data analysis:

2. Relevance of Collected Data

It involves  data collection  of your related topic for research. Carefully analyze the data that tends to be suitable for your analysis. Do not just go with irrelevant data leading to complications in the results. Your data must be relevant and fit with your objectives. You must be aware of how the data is going to help in analysis. 

3. Data Analysis

For analysis, it is crucial to use such methods that fit best with the types of data collected and the research objectives. Elaborate on these methods and the ones that justify your data collection methods thoroughly. Make sure to make the reader believe that you did not choose your method randomly. Instead, you arrived at it after critical analysis and prolonged research.

Data analysis involves two approaches –  Qualitative Data Analysis and Quantitative Data Analysis.   Qualitative data analysis  comprises research through experiments, focus groups, and interviews. This approach helps to achieve the objectives by identifying and analyzing common patterns obtained from responses. 

The overall objective of data analysis is to detect patterns and inclinations in data and then present the outcomes implicitly.  It helps in providing a solid foundation for critical conclusions and assisting the researcher to complete the dissertation proposal. 

4. Qualitative Data Analysis

Qualitative data refers to data that does not involve numbers. You are required to carry out an analysis of the data collected through experiments, focus groups, and interviews. This can be a time-taking process because it requires iterative examination and sometimes demanding the application of hermeneutics. Note that using qualitative technique doesn’t only mean generating good outcomes but to unveil more profound knowledge that can be transferrable.

Presenting qualitative data analysis in a dissertation  can also be a challenging task. It contains longer and more detailed responses. Placing such comprehensive data coherently in one chapter of the dissertation can be difficult due to two reasons. Firstly, we cannot figure out clearly which data to include and which one to exclude. Secondly, unlike quantitative data, it becomes problematic to present data in figures and tables. Making information condensed into a visual representation is not possible. As a writer, it is of essence to address both of these challenges.

This method involves analyzing qualitative data based on an argument that a researcher already defines. It’s a comparatively easy approach to analyze data. It is suitable for the researcher with a fair idea about the responses they are likely to receive from the questionnaires.

In this method, the researcher analyzes the data not based on any predefined rules. It is a time-taking process used by students who have very little knowledge of the research phenomenon.

5. Quantitative Data Analysis

The Presentation of quantitative data  depends on the domain to which it is being presented. It is beneficial to consider your audience while writing your findings. Quantitative data for  hard sciences  might require numeric inputs and statistics. As for  natural sciences , such comprehensive analysis is not required.

Following are some of the methods used to perform quantitative data analysis. 

6. Data Presentation Tools

Since large volumes of data need to be represented, it becomes a difficult task to present such an amount of data in coherent ways. To resolve this issue, consider all the available choices you have, such as tables, charts, diagrams, and graphs. 

7. Include Appendix or Addendum

After presenting a large amount of data, your dissertation analysis part might get messy and look disorganized. Also, you would not be cutting down or excluding the data you spent days and months collecting. To avoid this, you should include an appendix part. 

The data you find hard to arrange within the text, include that in the  appendix part of a dissertation . And place questionnaires, copies of focus groups and interviews, and data sheets in the appendix. On the other hand, one must put the statistical analysis and sayings quoted by interviewees within the dissertation. 

8. Thoroughness of Data

Thoroughly demonstrate the ideas and critically analyze each perspective taking care of the points where errors can occur. Always make sure to discuss the anomalies and strengths of your data to add credibility to your research.

9. Discussing Data

Discussion of data involves elaborating the dimensions to classify patterns, themes, and trends in presented data. In addition, to balancing, also take theoretical interpretations into account. Discuss the reliability of your data by assessing their effect and significance. Do not hide the anomalies. While using interviews to discuss the data, make sure you use relevant quotes to develop a strong rationale. 

10. Findings and Results

Findings refer to the facts derived after the analysis of collected data. These outcomes should be stated; clearly, their statements should tightly support your objective and provide logical reasoning and scientific backing to your point. This part comprises of majority part of the dissertation. 

11. Connection with Literature Review

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Wrapping up.

Writing data analysis in the dissertation involves dedication, and its implementations demand sound knowledge and proper planning. Choosing your topic, gathering relevant data, analyzing it, presenting your data and findings correctly, discussing the results, connecting with the literature and conclusions are milestones in it. Among these checkpoints, the Data analysis stage is most important and requires a lot of keenness.

As an IT Engineer, who is passionate about learning and sharing. I have worked and learned quite a bit from Data Engineers, Data Analysts, Business Analysts, and Key Decision Makers almost for the past 5 years. Interested in learning more about Data Science and How to leverage it for better decision-making in my business and hopefully help you do the same in yours.

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