phd thesis results chapter

How To Write The Results/Findings Chapter

For quantitative studies (dissertations & theses).

By: Derek Jansen (MBA). Expert Reviewed By: Kerryn Warren (PhD) | July 2021

So, you’ve completed your quantitative data analysis and it’s time to report on your findings. But where do you start? In this post, we’ll walk you through the results chapter (also called the findings or analysis chapter), step by step, so that you can craft this section of your dissertation or thesis with confidence. If you’re looking for information regarding the results chapter for qualitative studies, you can find that here .

Overview: Quantitative Results Chapter

• What exactly the results/findings/analysis chapter is
• What you need to include in your results chapter
• How to structure your results chapter
• A few tips and tricks for writing top-notch chapter

What exactly is the results chapter?

The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you’ve found in terms of the quantitative data you’ve collected. It presents the data using a clear text narrative, supported by tables, graphs and charts. In doing so, it also highlights any potential issues (such as outliers or unusual findings) you’ve come across.

But how’s that different from the discussion chapter?

Well, in the results chapter, you only present your statistical findings. Only the numbers, so to speak – no more, no less. Contrasted to this, in the discussion chapter , you interpret your findings and link them to prior research (i.e. your literature review), as well as your research objectives and research questions . In other words, the results chapter presents and describes the data, while the discussion chapter interprets the data.

Let’s look at an example.

In your results chapter, you may have a plot that shows how respondents to a survey  responded: the numbers of respondents per category, for instance. You may also state whether this supports a hypothesis by using a p-value from a statistical test. But it is only in the discussion chapter where you will say why this is relevant or how it compares with the literature or the broader picture. So, in your results chapter, make sure that you don’t present anything other than the hard facts – this is not the place for subjectivity.

It’s worth mentioning that some universities prefer you to combine the results and discussion chapters. Even so, it is good practice to separate the results and discussion elements within the chapter, as this ensures your findings are fully described. Typically, though, the results and discussion chapters are split up in quantitative studies. If you’re unsure, chat with your research supervisor or chair to find out what their preference is.

What should you include in the results chapter?

Following your analysis, it’s likely you’ll have far more data than are necessary to include in your chapter. In all likelihood, you’ll have a mountain of SPSS or R output data, and it’s your job to decide what’s most relevant. You’ll need to cut through the noise and focus on the data that matters.

This doesn’t mean that those analyses were a waste of time – on the contrary, those analyses ensure that you have a good understanding of your dataset and how to interpret it. However, that doesn’t mean your reader or examiner needs to see the 165 histograms you created! Relevance is key.

How do I decide what’s relevant?

At this point, it can be difficult to strike a balance between what is and isn’t important. But the most important thing is to ensure your results reflect and align with the purpose of your study .  So, you need to revisit your research aims, objectives and research questions and use these as a litmus test for relevance. Make sure that you refer back to these constantly when writing up your chapter so that you stay on track.

As a general guide, your results chapter will typically include the following:

• Some demographic data about your sample
• Reliability tests (if you used measurement scales)
• Descriptive statistics
• Inferential statistics (if your research objectives and questions require these)
• Hypothesis tests (again, if your research objectives and questions require these)

We’ll discuss each of these points in more detail in the next section.

Importantly, your results chapter needs to lay the foundation for your discussion chapter . This means that, in your results chapter, you need to include all the data that you will use as the basis for your interpretation in the discussion chapter.

For example, if you plan to highlight the strong relationship between Variable X and Variable Y in your discussion chapter, you need to present the respective analysis in your results chapter – perhaps a correlation or regression analysis.

Need a helping hand?

How do I write the results chapter?

There are multiple steps involved in writing up the results chapter for your quantitative research. The exact number of steps applicable to you will vary from study to study and will depend on the nature of the research aims, objectives and research questions . However, we’ll outline the generic steps below.

Step 1 – Revisit your research questions

The first step in writing your results chapter is to revisit your research objectives and research questions . These will be (or at least, should be!) the driving force behind your results and discussion chapters, so you need to review them and then ask yourself which statistical analyses and tests (from your mountain of data) would specifically help you address these . For each research objective and research question, list the specific piece (or pieces) of analysis that address it.

At this stage, it’s also useful to think about the key points that you want to raise in your discussion chapter and note these down so that you have a clear reminder of which data points and analyses you want to highlight in the results chapter. Again, list your points and then list the specific piece of analysis that addresses each point. 

Next, you should draw up a rough outline of how you plan to structure your chapter . Which analyses and statistical tests will you present and in what order? We’ll discuss the “standard structure” in more detail later, but it’s worth mentioning now that it’s always useful to draw up a rough outline before you start writing (this advice applies to any chapter).

Step 2 – Craft an overview introduction

As with all chapters in your dissertation or thesis, you should start your quantitative results chapter by providing a brief overview of what you’ll do in the chapter and why . For example, you’d explain that you will start by presenting demographic data to understand the representativeness of the sample, before moving onto X, Y and Z.

This section shouldn’t be lengthy – a paragraph or two maximum. Also, it’s a good idea to weave the research questions into this section so that there’s a golden thread that runs through the document.

Step 3 – Present the sample demographic data

The first set of data that you’ll present is an overview of the sample demographics – in other words, the demographics of your respondents.

For example:

• What age range are they?
• How is gender distributed?
• How is ethnicity distributed?
• What areas do the participants live in?

The purpose of this is to assess how representative the sample is of the broader population. This is important for the sake of the generalisability of the results. If your sample is not representative of the population, you will not be able to generalise your findings. This is not necessarily the end of the world, but it is a limitation you’ll need to acknowledge.

Of course, to make this representativeness assessment, you’ll need to have a clear view of the demographics of the population. So, make sure that you design your survey to capture the correct demographic information that you will compare your sample to.

But what if I’m not interested in generalisability?

Well, even if your purpose is not necessarily to extrapolate your findings to the broader population, understanding your sample will allow you to interpret your findings appropriately, considering who responded. In other words, it will help you contextualise your findings . For example, if 80% of your sample was aged over 65, this may be a significant contextual factor to consider when interpreting the data. Therefore, it’s important to understand and present the demographic data.

 Step 4 – Review composite measures and the data “shape”.

Before you undertake any statistical analysis, you’ll need to do some checks to ensure that your data are suitable for the analysis methods and techniques you plan to use. If you try to analyse data that doesn’t meet the assumptions of a specific statistical technique, your results will be largely meaningless. Therefore, you may need to show that the methods and techniques you’ll use are “allowed”.

Most commonly, there are two areas you need to pay attention to:

#1: Composite measures

The first is when you have multiple scale-based measures that combine to capture one construct – this is called a composite measure .  For example, you may have four Likert scale-based measures that (should) all measure the same thing, but in different ways. In other words, in a survey, these four scales should all receive similar ratings. This is called “ internal consistency ”.

Internal consistency is not guaranteed though (especially if you developed the measures yourself), so you need to assess the reliability of each composite measure using a test. Typically, Cronbach’s Alpha is a common test used to assess internal consistency – i.e., to show that the items you’re combining are more or less saying the same thing. A high alpha score means that your measure is internally consistent. A low alpha score means you may need to consider scrapping one or more of the measures.

#2: Data shape

The second matter that you should address early on in your results chapter is data shape. In other words, you need to assess whether the data in your set are symmetrical (i.e. normally distributed) or not, as this will directly impact what type of analyses you can use. For many common inferential tests such as T-tests or ANOVAs (we’ll discuss these a bit later), your data needs to be normally distributed. If it’s not, you’ll need to adjust your strategy and use alternative tests.

To assess the shape of the data, you’ll usually assess a variety of descriptive statistics (such as the mean, median and skewness), which is what we’ll look at next.

Step 5 – Present the descriptive statistics

Now that you’ve laid the foundation by discussing the representativeness of your sample, as well as the reliability of your measures and the shape of your data, you can get started with the actual statistical analysis. The first step is to present the descriptive statistics for your variables.

For scaled data, this usually includes statistics such as:

• The mean – this is simply the mathematical average of a range of numbers.
• The median – this is the midpoint in a range of numbers when the numbers are arranged in order.
• The mode – this is the most commonly repeated number in the data set.
• Standard deviation – this metric indicates how dispersed a range of numbers is. In other words, how close all the numbers are to the mean (the average).
• Skewness – this indicates how symmetrical a range of numbers is. In other words, do they tend to cluster into a smooth bell curve shape in the middle of the graph (this is called a normal or parametric distribution), or do they lean to the left or right (this is called a non-normal or non-parametric distribution).
• Kurtosis – this metric indicates whether the data are heavily or lightly-tailed, relative to the normal distribution. In other words, how peaked or flat the distribution is.

A large table that indicates all the above for multiple variables can be a very effective way to present your data economically. You can also use colour coding to help make the data more easily digestible.

For categorical data, where you show the percentage of people who chose or fit into a category, for instance, you can either just plain describe the percentages or numbers of people who responded to something or use graphs and charts (such as bar graphs and pie charts) to present your data in this section of the chapter.

When using figures, make sure that you label them simply and clearly , so that your reader can easily understand them. There’s nothing more frustrating than a graph that’s missing axis labels! Keep in mind that although you’ll be presenting charts and graphs, your text content needs to present a clear narrative that can stand on its own. In other words, don’t rely purely on your figures and tables to convey your key points: highlight the crucial trends and values in the text. Figures and tables should complement the writing, not carry it .

Depending on your research aims, objectives and research questions, you may stop your analysis at this point (i.e. descriptive statistics). However, if your study requires inferential statistics, then it’s time to deep dive into those .

Step 6 – Present the inferential statistics

Inferential statistics are used to make generalisations about a population , whereas descriptive statistics focus purely on the sample . Inferential statistical techniques, broadly speaking, can be broken down into two groups .

First, there are those that compare measurements between groups , such as t-tests (which measure differences between two groups) and ANOVAs (which measure differences between multiple groups). Second, there are techniques that assess the relationships between variables , such as correlation analysis and regression analysis. Within each of these, some tests can be used for normally distributed (parametric) data and some tests are designed specifically for use on non-parametric data.

There are a seemingly endless number of tests that you can use to crunch your data, so it’s easy to run down a rabbit hole and end up with piles of test data. Ultimately, the most important thing is to make sure that you adopt the tests and techniques that allow you to achieve your research objectives and answer your research questions .

In this section of the results chapter, you should try to make use of figures and visual components as effectively as possible. For example, if you present a correlation table, use colour coding to highlight the significance of the correlation values, or scatterplots to visually demonstrate what the trend is. The easier you make it for your reader to digest your findings, the more effectively you’ll be able to make your arguments in the next chapter.

Step 7 – Test your hypotheses

If your study requires it, the next stage is hypothesis testing. A hypothesis is a statement , often indicating a difference between groups or relationship between variables, that can be supported or rejected by a statistical test. However, not all studies will involve hypotheses (again, it depends on the research objectives), so don’t feel like you “must” present and test hypotheses just because you’re undertaking quantitative research.

The basic process for hypothesis testing is as follows:

• Specify your null hypothesis (for example, “The chemical psilocybin has no effect on time perception).
• Specify your alternative hypothesis (e.g., “The chemical psilocybin has an effect on time perception)
• Set your significance level (this is usually 0.05)
• Calculate your statistics and find your p-value (e.g., p=0.01)
• Draw your conclusions (e.g., “The chemical psilocybin does have an effect on time perception”)

Finally, if the aim of your study is to develop and test a conceptual framework , this is the time to present it, following the testing of your hypotheses. While you don’t need to develop or discuss these findings further in the results chapter, indicating whether the tests (and their p-values) support or reject the hypotheses is crucial.

Step 8 – Provide a chapter summary

To wrap up your results chapter and transition to the discussion chapter, you should provide a brief summary of the key findings . “Brief” is the keyword here – much like the chapter introduction, this shouldn’t be lengthy – a paragraph or two maximum. Highlight the findings most relevant to your research objectives and research questions, and wrap it up.

Some final thoughts, tips and tricks

Now that you’ve got the essentials down, here are a few tips and tricks to make your quantitative results chapter shine:

• When writing your results chapter, report your findings in the past tense . You’re talking about what you’ve found in your data, not what you are currently looking for or trying to find.
• Structure your results chapter systematically and sequentially . If you had two experiments where findings from the one generated inputs into the other, report on them in order.
• Make your own tables and graphs rather than copying and pasting them from statistical analysis programmes like SPSS. Check out the DataIsBeautiful reddit for some inspiration.
• Once you’re done writing, review your work to make sure that you have provided enough information to answer your research questions , but also that you didn’t include superfluous information.

If you’ve got any questions about writing up the quantitative results chapter, please leave a comment below. If you’d like 1-on-1 assistance with your quantitative analysis and discussion, check out our hands-on coaching service , or book a free consultation with a friendly coach.

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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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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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Tips for writing a PhD dissertation: FAQs answered

From how to choose a topic to writing the abstract and managing work-life balance through the years it takes to complete a doctorate, here we collect expert advice to get you through the PhD writing process

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Embarking on a PhD is “probably the most challenging task that a young scholar attempts to do”, write Mark Stephan Felix and Ian Smith in their practical guide to dissertation and thesis writing. After years of reading and research to answer a specific question or proposition, the candidate will submit about 80,000 words that explain their methods and results and demonstrate their unique contribution to knowledge. Here are the answers to frequently asked questions about writing a doctoral thesis or dissertation.

What’s the difference between a dissertation and a thesis?

Whatever the genre of the doctorate, a PhD must offer an original contribution to knowledge. The terms “dissertation” and “thesis” both refer to the long-form piece of work produced at the end of a research project and are often used interchangeably. Which one is used might depend on the country, discipline or university. In the UK, “thesis” is generally used for the work done for a PhD, while a “dissertation” is written for a master’s degree. The US did the same until the 1960s, says Oxbridge Essays, when the convention switched, and references appeared to a “master’s thesis” and “doctoral dissertation”. To complicate matters further, undergraduate long essays are also sometimes referred to as a thesis or dissertation.

The Oxford English Dictionary defines “thesis” as “a dissertation, especially by a candidate for a degree” and “dissertation” as “a detailed discourse on a subject, especially one submitted in partial fulfilment of the requirements of a degree or diploma”.

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The title “doctor of philosophy”, incidentally, comes from the degree’s origins, write Dr Felix, an associate professor at Mahidol University in Thailand, and Dr Smith, retired associate professor of education at the University of Sydney , whose co-authored guide focuses on the social sciences. The PhD was first awarded in the 19th century by the philosophy departments of German universities, which at that time taught science, social science and liberal arts.

How long should a PhD thesis be?

A PhD thesis (or dissertation) is typically 60,000 to 120,000 words ( 100 to 300 pages in length ) organised into chapters, divisions and subdivisions (with roughly 10,000 words per chapter) – from introduction (with clear aims and objectives) to conclusion.

The structure of a dissertation will vary depending on discipline (humanities, social sciences and STEM all have their own conventions), location and institution. Examples and guides to structure proliferate online. The University of Salford , for example, lists: title page, declaration, acknowledgements, abstract, table of contents, lists of figures, tables and abbreviations (where needed), chapters, appendices and references.

A scientific-style thesis will likely need: introduction, literature review, materials and methods, results, discussion, bibliography and references.

As well as checking the overall criteria and expectations of your institution for your research, consult your school handbook for the required length and format (font, layout conventions and so on) for your dissertation.

A PhD takes three to four years to complete; this might extend to six to eight years for a part-time doctorate.

What are the steps for completing a PhD?

Before you get started in earnest , you’ll likely have found a potential supervisor, who will guide your PhD journey, and done a research proposal (which outlines what you plan to research and how) as part of your application, as well as a literature review of existing scholarship in the field, which may form part of your final submission.

In the UK, PhD candidates undertake original research and write the results in a thesis or dissertation, says author and vlogger Simon Clark , who posted videos to YouTube throughout his own PhD journey . Then they submit the thesis in hard copy and attend the viva voce (which is Latin for “living voice” and is also called an oral defence or doctoral defence) to convince the examiners that their work is original, understood and all their own. Afterwards, if necessary, they make changes and resubmit. If the changes are approved, the degree is awarded.

The steps are similar in Australia , although candidates are mostly assessed on their thesis only; some universities may include taught courses, and some use a viva voce. A PhD in Australia usually takes three years full time.

In the US, the PhD process begins with taught classes (similar to a taught master’s) and a comprehensive exam (called a “field exam” or “dissertation qualifying exam”) before the candidate embarks on their original research. The whole journey takes four to six years.

A PhD candidate will need three skills and attitudes to get through their doctoral studies, says Tara Brabazon , professor of cultural studies at Flinders University in Australia who has written extensively about the PhD journey :

• master the academic foundational skills (research, writing, ability to navigate different modalities)
• time-management skills and the ability to focus on reading and writing
• determined motivation to do a PhD.

How do I choose the topic for my PhD dissertation or thesis?

It’s important to find a topic that will sustain your interest for the years it will take to complete a PhD. “Finding a sustainable topic is the most important thing you [as a PhD student] would do,” says Dr Brabazon in a video for Times Higher Education . “Write down on a big piece of paper all the topics, all the ideas, all the questions that really interest you, and start to cross out all the ones that might just be a passing interest.” Also, she says, impose the “Who cares? Who gives a damn?” question to decide if the topic will be useful in a future academic career.

The availability of funding and scholarships is also often an important factor in this decision, says veteran PhD supervisor Richard Godwin, from Harper Adams University .

Define a gap in knowledge – and one that can be questioned, explored, researched and written about in the time available to you, says Gina Wisker, head of the Centre for Learning and Teaching at the University of Brighton. “Set some boundaries,” she advises. “Don’t try to ask everything related to your topic in every way.”

James Hartley, research professor in psychology at Keele University, says it can also be useful to think about topics that spark general interest. If you do pick something that taps into the zeitgeist, your findings are more likely to be noticed.

You also need to find someone else who is interested in it, too. For STEM candidates , this will probably be a case of joining a team of people working in a similar area where, ideally, scholarship funding is available. A centre for doctoral training (CDT) or doctoral training partnership (DTP) will advertise research projects. For those in the liberal arts and social sciences, it will be a matter of identifying a suitable supervisor .

Avoid topics that are too broad (hunger across a whole country, for example) or too narrow (hunger in a single street) to yield useful solutions of academic significance, write Mark Stephan Felix and Ian Smith. And ensure that you’re not repeating previous research or trying to solve a problem that has already been answered. A PhD thesis must be original.

What is a thesis proposal?

After you have read widely to refine your topic and ensure that it and your research methods are original, and discussed your project with a (potential) supervisor, you’re ready to write a thesis proposal , a document of 1,500 to 3,000 words that sets out the proposed direction of your research. In the UK, a research proposal is usually part of the application process for admission to a research degree. As with the final dissertation itself, format varies among disciplines, institutions and countries but will usually contain title page, aims, literature review, methodology, timetable and bibliography. Examples of research proposals are available online.

How to write an abstract for a dissertation or thesis

The abstract presents your thesis to the wider world – and as such may be its most important element , says the NUI Galway writing guide. It outlines the why, how, what and so what of the thesis . Unlike the introduction, which provides background but not research findings, the abstract summarises all sections of the dissertation in a concise, thorough, focused way and demonstrates how well the writer understands their material. Check word-length limits with your university – and stick to them. About 300 to 500 words is a rough guide ­– but it can be up to 1,000 words.

The abstract is also important for selection and indexing of your thesis, according to the University of Melbourne guide , so be sure to include searchable keywords.

It is the first thing to be read but the last element you should write. However, Pat Thomson , professor of education at the University of Nottingham , advises that it is not something to be tackled at the last minute.

How to write a stellar conclusion

As well as chapter conclusions, a thesis often has an overall conclusion to draw together the key points covered and to reflect on the unique contribution to knowledge. It can comment on future implications of the research and open up new ideas emanating from the work. It is shorter and more general than the discussion chapter , says online editing site Scribbr, and reiterates how the work answers the main question posed at the beginning of the thesis. The conclusion chapter also often discusses the limitations of the research (time, scope, word limit, access) in a constructive manner.

It can be useful to keep a collection of ideas as you go – in the online forum DoctoralWriting SIG , academic developer Claire Aitchison, of the University of South Australia , suggests using a “conclusions bank” for themes and inspirations, and using free-writing to keep this final section fresh. (Just when you feel you’ve run out of steam.) Avoid aggrandising or exaggerating the impact of your work. It should remind the reader what has been done, and why it matters.

How to format a bibliography (or where to find a reliable model)

Most universities use a preferred style of references , writes THE associate editor Ingrid Curl. Make sure you know what this is and follow it. “One of the most common errors in academic writing is to cite papers in the text that do not then appear in the bibliography. All references in your thesis need to be cross-checked with the bibliography before submission. Using a database during your research can save a great deal of time in the writing-up process.”

A bibliography contains not only works cited explicitly but also those that have informed or contributed to the research – and as such illustrates its scope; works are not limited to written publications but include sources such as film or visual art.

Examiners can start marking from the back of the script, writes Dr Brabazon. “Just as cooks are judged by their ingredients and implements, we judge doctoral students by the calibre of their sources,” she advises. She also says that candidates should be prepared to speak in an oral examination of the PhD about any texts included in their bibliography, especially if there is a disconnect between the thesis and the texts listed.

Can I use informal language in my PhD?

Don’t write like a stereotypical academic , say Kevin Haggerty, professor of sociology at the University of Alberta , and Aaron Doyle, associate professor in sociology at Carleton University , in their tongue-in-cheek guide to the PhD journey. “If you cannot write clearly and persuasively, everything about PhD study becomes harder.” Avoid jargon, exotic words, passive voice and long, convoluted sentences – and work on it consistently. “Writing is like playing guitar; it can improve only through consistent, concerted effort.”

Be deliberate and take care with your writing . “Write your first draft, leave it and then come back to it with a critical eye. Look objectively at the writing and read it closely for style and sense,” advises THE ’s Ms Curl. “Look out for common errors such as dangling modifiers, subject-verb disagreement and inconsistency. If you are too involved with the text to be able to take a step back and do this, then ask a friend or colleague to read it with a critical eye. Remember Hemingway’s advice: ‘Prose is architecture, not interior decoration.’ Clarity is key.”

How often should a PhD candidate meet with their supervisor?

Since the PhD supervisor provides a range of support and advice – including on research techniques, planning and submission – regular formal supervisions are essential, as is establishing a line of contact such as email if the candidate needs help or advice outside arranged times. The frequency varies according to university, discipline and individual scholars.

Once a week is ideal, says Dr Brabazon. She also advocates a two-hour initial meeting to establish the foundations of the candidate-supervisor relationship .

The University of Edinburgh guide to writing a thesis suggests that creating a timetable of supervisor meetings right at the beginning of the research process will allow candidates to ensure that their work stays on track throughout. The meetings are also the place to get regular feedback on draft chapters.

“A clear structure and a solid framework are vital for research,” writes Dr Godwin on THE Campus . Use your supervisor to establish this and provide a realistic view of what can be achieved. “It is vital to help students identify the true scientific merit, the practical significance of their work and its value to society.”

How to proofread your dissertation (what to look for)

Proofreading is the final step before printing and submission. Give yourself time to ensure that your work is the best it can be . Don’t leave proofreading to the last minute; ideally, break it up into a few close-reading sessions. Find a quiet place without distractions. A checklist can help ensure that all aspects are covered.

Proofing is often helped by a change of format – so it can be easier to read a printout rather than working off the screen – or by reading sections out of order. Fresh eyes are better at spotting typographical errors and inconsistencies, so leave time between writing and proofreading. Check with your university’s policies before asking another person to proofread your thesis for you.

As well as close details such as spelling and grammar, check that all sections are complete, all required elements are included , and nothing is repeated or redundant. Don’t forget to check headings and subheadings. Does the text flow from one section to another? Is the structure clear? Is the work a coherent whole with a clear line throughout?

Ensure consistency in, for example, UK v US spellings, capitalisation, format, numbers (digits or words, commas, units of measurement), contractions, italics and hyphenation. Spellchecks and online plagiarism checkers are also your friend.

How do you manage your time to complete a PhD dissertation?

Treat your PhD like a full-time job, that is, with an eight-hour working day. Within that, you’ll need to plan your time in a way that gives a sense of progress . Setbacks and periods where it feels as if you are treading water are all but inevitable, so keeping track of small wins is important, writes A Happy PhD blogger Luis P. Prieto.

Be specific with your goals – use the SMART acronym (specific, measurable, attainable, relevant and timely).

And it’s never too soon to start writing – even if early drafts are overwritten and discarded.

“ Write little and write often . Many of us make the mistake of taking to writing as one would take to a sprint, in other words, with relatively short bursts of intense activity. Whilst this can prove productive, generally speaking it is not sustainable…In addition to sustaining your activity, writing little bits on a frequent basis ensures that you progress with your thinking. The comfort of remaining in abstract thought is common; writing forces us to concretise our thinking,” says Christian Gilliam, AHSS researcher developer at the University of Cambridge ’s Centre for Teaching and Learning.

Make time to write. “If you are more alert early in the day, find times that suit you in the morning; if you are a ‘night person’, block out some writing sessions in the evenings,” advises NUI Galway’s Dermot Burns, a lecturer in English and creative arts. Set targets, keep daily notes of experiment details that you will need in your thesis, don’t confuse writing with editing or revising – and always back up your work.

What work-life balance tips should I follow to complete my dissertation?

During your PhD programme, you may have opportunities to take part in professional development activities, such as teaching, attending academic conferences and publishing your work. Your research may include residencies, field trips or archive visits. This will require time-management skills as well as prioritising where you devote your energy and factoring in rest and relaxation. Organise your routine to suit your needs , and plan for steady and regular progress.

How to deal with setbacks while writing a thesis or dissertation

Have a contingency plan for delays or roadblocks such as unexpected results.

Accept that writing is messy, first drafts are imperfect, and writer’s block is inevitable, says Dr Burns. His tips for breaking it include relaxation to free your mind from clutter, writing a plan and drawing a mind map of key points for clarity. He also advises feedback, reflection and revision: “Progressing from a rough version of your thoughts to a superior and workable text takes time, effort, different perspectives and some expertise.”

“Academia can be a relentlessly brutal merry-go-round of rejection, rebuttal and failure,” writes Lorraine Hope , professor of applied cognitive psychology at the University of Portsmouth, on THE Campus. Resilience is important. Ensure that you and your supervisor have a relationship that supports open, frank, judgement-free communication.

If you would like advice and insight from academics and university staff delivered direct to your inbox each week, sign up for the Campus newsletter .

Authoring a PhD Thesis: How to Plan, Draft, Write and Finish a Doctoral Dissertation (2003), by Patrick Dunleavy

Writing Your Dissertation in Fifteen Minutes a Day: A Guide to Starting, Revising, and Finishing Your Doctoral Thesis (1998), by Joan Balker

Challenges in Writing Your Dissertation: Coping with the Emotional, Interpersonal, and Spiritual Struggles (2015), by Noelle Sterne

Emotions and learning: what role do emotions play in how and why students learn?

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Writing the Data Analysis Chapter(s): Results and Evidence

Posted by Rene Tetzner | Oct 19, 2021 | PhD Success | 0 |

4.4 Writing the Data Analysis Chapter(s): Results and Evidence

Unlike the introduction, literature review and methodology chapter(s), your results chapter(s) will need to be written for the first time as you draft your thesis even if you submitted a proposal, though this part of your thesis will certainly build upon the preceding chapters. You should have carefully recorded and collected the data (test results, participant responses, computer print outs, observations, transcriptions, notes of various kinds etc.) from your research as you conducted it, so now is the time to review, organise and analyse the data. If your study is quantitative in nature, make sure that you know what all the numbers mean and that you consider them in direct relation to the topic, problem or phenomenon you are investigating, and especially in relation to your research questions and hypotheses. You may find that you require the services of a statistician to help make sense of the data, in which case, obtaining that help sooner rather than later is advisable, because you need to understand your results thoroughly before you can write about them. If, on the other hand, your study is qualitative, you will need to read through the data you have collected several times to become familiar with them both as a whole and in detail so that you can establish important themes, patterns and categories. Remember that ‘qualitative analysis is a creative process and requires thoughtful judgments about what is significant and meaningful in the data’ (Roberts, 2010, p.174; see also Miles & Huberman, 1994) – judgements that often need to be made before the findings can be effectively analysed and presented. If you are combining methodologies in your research, you will also need to consider relationships between the results obtained from the different methods, integrating all the data you have obtained and discovering how the results of one approach support or correlate with the results of another. Ideally, you will have taken careful notes recording your initial thoughts and analyses about the sources you consulted and the results and evidence provided by particular methods and instruments as you put them into practice (as suggested in Sections 2.1.2 and 2.1.4), as these will prove helpful while you consider how best to present your results in your thesis.

Although the ways in which to present and organise the results of doctoral research differ markedly depending on the nature of the study and its findings, as on author and committee preferences and university and department guidelines, there are several basic principles that apply to virtually all theses. First and foremost is the need to present the results of your research both clearly and concisely, and in as objective and factual a manner as possible. There will be time and space to elaborate and interpret your results and speculate on their significance and implications in the final discussion chapter(s) of your thesis, but, generally speaking, such reflection on the meaning of the results should be entirely separate from the factual report of your research findings. There are exceptions, of course, and some candidates, supervisors and departments may prefer the factual presentation and interpretive discussion of results to be blended, just as some thesis topics may demand such treatment, but this is rare and best avoided unless there are persuasive reasons to avoid separating the facts from your thoughts about them. If you do find that you need to blend facts and interpretation in reporting your results, make sure that your language leaves no doubt about the line between the two: words such as ‘seems,’ ‘appears,’ ‘may,’ ‘might,’ probably’ and the like will effectively distinguish analytical speculation from more factual reporting (see also Section 4.5).

You need not dedicate much space in this part of the thesis to the methods you used to arrive at your results because these have already been described in your methodology chapter(s), but they can certainly be revisited briefly to clarify or lend structure to your report. Results are most often presented in a straightforward narrative form which is often supplemented by tables and perhaps by figures such as graphs, charts and maps. An effective approach is to decide immediately which information would be best included in tables and figures, and then to prepare those tables and figures before you begin writing the text for the chapter (see Section 4.4.1 on designing effective tables and figures). Arranging your data into the visually immediate formats provided by tables and figures can, for one, produce interesting surprises by enabling you to see trends and details that you may not have noticed previously, and writing the report of your results will prove easier when you have the tables and figures to work with just as your readers ultimately will. In addition, while the text of the results chapter(s) should certainly highlight the most notable data included in tables and figures, it is essential not to repeat information unnecessarily, so writing with the tables and figures already constructed will help you keep repetition to a minimum. Finally, writing about the tables and figures you create will help you test their clarity and effectiveness for your readers, and you can make any necessary adjustments to the tables and figures as you work. Be sure to refer to each table and figure by number in your text and to make it absolutely clear what you want your readers to see or understand in the table or figure (e.g., ‘see Table 1 for the scores’ and ‘Figure 2 shows this relationship’).

Beyond combining textual narration with the data presented in tables and figures, you will need to organise your report of the results in a manner best suited to the material. You may choose to arrange the presentation of your results chronologically or in a hierarchical order that represents their importance; you might subdivide your results into sections (or separate chapters if there is a great deal of information to accommodate) focussing on the findings of different kinds of methodology (quantitative versus qualitative, for instance) or of different tests, trials, surveys, reviews, case studies and so on; or you may want to create sections (or chapters) focussing on specific themes, patterns or categories or on your research questions and/or hypotheses. The last approach allows you to cluster results that relate to a particular question or hypothesis into a single section and can be particularly useful because it provides cohesion for the thesis as a whole and forces you to focus closely on the issues central to the topic, problem or phenomenon you are investigating. You will, for instance, be able to refer back to the questions and hypotheses presented in your introduction (see Section 3.1), to answer the questions and confirm or dismiss the hypotheses and to anticipate in relation to those questions and hypotheses the discussion and interpretation of your findings that will appear in the next part of the thesis (see Section 4.5). Less effective is an approach that organises the presentation of results according to the items of a survey or questionnaire, because these lend the structure of the instrument used to the results instead of connecting those results directly to the aims, themes and argument of your thesis, but such an organisation can certainly be an important early step in your analysis of the findings and might even be valid for the final thesis if, for instance, your work focuses on developing the instrument involved.

The results generated by doctoral research are unique, and this book cannot hope to outline all the possible approaches for presenting the data and analyses that constitute research results, but it is essential that you devote considerable thought and special care to the way in which you structure the report of your results (Section 6.1 on headings may prove helpful). Whatever structure you choose should accurately reflect the nature of your results and highlight their most important and interesting trends, and it should also effectively allow you (in the next part of the thesis) to discuss and speculate upon your findings in ways that will test the premises of your study, work well in the overall argument of your thesis and lead to significant implications for your research. Regardless of how you organise the main body of your results chapter(s), however, you should include a final paragraph (or more than one paragraph if necessary) that briefly summarises and explains the key results and also guides the reader on to the discussion and interpretation of those results in the following chapter(s).

Why PhD Success?

To Graduate Successfully

This article is part of a book called "PhD Success" which focuses on the writing process of a phd thesis, with its aim being to provide sound practices and principles for reporting and formatting in text the methods, results and discussion of even the most innovative and unique research in ways that are clear, correct, professional and persuasive.

The assumption of the book is that the doctoral candidate reading it is both eager to write and more than capable of doing so, but nonetheless requires information and guidance on exactly what he or she should be writing and how best to approach the task. The basic components of a doctoral thesis are outlined and described, as are the elements of complete and accurate scholarly references, and detailed descriptions of writing practices are clarified through the use of numerous examples.

The basic components of a doctoral thesis are outlined and described, as are the elements of complete and accurate scholarly references, and detailed descriptions of writing practices are clarified through the use of numerous examples. PhD Success provides guidance for students familiar with English and the procedures of English universities, but it also acknowledges that many theses in the English language are now written by candidates whose first language is not English, so it carefully explains the scholarly styles, conventions and standards expected of a successful doctoral thesis in the English language.

Individual chapters of this book address reflective and critical writing early in the thesis process; working successfully with thesis supervisors and benefiting from commentary and criticism; drafting and revising effective thesis chapters and developing an academic or scientific argument; writing and formatting a thesis in clear and correct scholarly English; citing, quoting and documenting sources thoroughly and accurately; and preparing for and excelling in thesis meetings and examinations. 

Completing a doctoral thesis successfully requires long and penetrating thought, intellectual rigour and creativity, original research and sound methods (whether established or innovative), precision in recording detail and a wide-ranging thoroughness, as much perseverance and mental toughness as insight and brilliance, and, no matter how many helpful writing guides are consulted, a great deal of hard work over a significant period of time. Writing a thesis can be an enjoyable as well as a challenging experience, however, and even if it is not always so, the personal and professional rewards of achieving such an enormous goal are considerable, as all doctoral candidates no doubt realise, and will last a great deal longer than any problems that may be encountered during the process.

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Writing a Postgraduate or Doctoral Thesis: A Step-by-Step Approach

• First Online: 01 October 2023

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• Usha Y. Nayak 4 ,
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• Srinivas Mutalik 4 &
• N. Udupa 6  

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A key characteristic looked after by postgraduate or doctoral students is how they communicate and defend their knowledge. Many candidates believe that there is insufficient instruction on constructing strong arguments. The thesis writing procedure must be meticulously followed to achieve outstanding results. It should be well organized, simple to read, and provide detailed explanations of the core research concepts. Each section in a thesis should be carefully written to make sure that it transitions logically from one to the next in a smooth way and is free of any unclear, cluttered, or redundant elements that make it difficult for the reader to understand what is being tried to convey. In this regard, students must acquire the information and skills to successfully create a strong and effective thesis. A step-by-step description of the thesis/dissertation writing process is provided in this chapter.

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Nayak, U.Y., Hoogar, P., Mutalik, S., Udupa, N. (2023). Writing a Postgraduate or Doctoral Thesis: A Step-by-Step Approach. In: Jagadeesh, G., Balakumar, P., Senatore, F. (eds) The Quintessence of Basic and Clinical Research and Scientific Publishing. Springer, Singapore. https://doi.org/10.1007/978-981-99-1284-1_48

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The PhD Discussion Chapter: What It Is & How To Write It

Sep 11, 2023

Your PhD discussion chapter is your thesis’s intellectual epicenter. Think of it as the scholarly equivalent of a courtroom closing argument, where you summarise the evidence and make your case. Perhaps that’s why it’s so tricky – the skills you need in your discussion chapter aren’t skills you’ve likely had to deploy before: it’s where you start to speak like a Doctor.

In this guide, I want to present a comprehensive guide to the PhD discussion chapter. We’ll look at a number of key topics:

What is the purpose of a PhD Discussion Chapter?

• Suggested outlines for a discussion chapter:

Advice for improving your discussion chapter

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Each week we send two short, thought-provoking emails that will make you think differently about what it means to be a PhD student. It is designed to be read in thirty seconds and thought about all day.

  The PhD discussion chapter is the place where your findings, research questions, literature, theoretical framework and methodology coalesce into a coherent narrative. A common pitfall is when students see the discussion chapter as a summary of everything that has come before. This isn’t the case. Instead, the PhD discussion chapter offers a deep, analytical synthesis of your research, providing context, interpretation, and evaluation of your findings.

It’s the place in which you engage with existing theories, explore the significance of your work, and directly address the “So What?” question, highlighting the real-world implications and academic contributions of your research.

 Let’s dig down into each of these things.

Summarising and explaining the research

Before you launch into the detail, start by laying out your findings in a clear, easy to follow way. This is typically done in the introduction and the first proper section of the chapter.

Starting the PhD discussion chapter by clearly laying out your findings serves as an anchor for your reader and sets the stage for the more complex discussions that follow. This foundational step ensures that the reader is equipped with all the necessary information to fully grasp the significance and implications of your work. It’s akin to laying the groundwork before building a complex structure; without a solid base, the intricate analyses may lose their impact or be misunderstood.

For example, if you’re a PhD student in environmental science studying the effects of a specific pollutant on marine life, begin by presenting the key data points, such as the pollutant concentration levels in various regions and the corresponding health indices of marine species studied. Use tables, figures, or graphs to help visualise the data and make it more accessible.

• Laying out Quantitative Findings : If your research is quantitative, use statistical measures to present your results. Clearly state the metrics you’ve considered, such as means, variances, p-values, etc., and what they imply about your research question.
• Laying out Qualitative Findings : In case of qualitative research, such as ethnographic studies or interviews, narrate the trends, patterns, or themes that have emerged. Use representative quotes or observations as illustrative examples.
• Mixed-Methods Approach : If you’ve used both quantitative and qualitative methods, start by outlining how these different types of data will be integrated in your discussion. This could involve presenting the qualitative findings as a contextual backdrop for quantitative data or vice versa.

Remember, your objective at this initial stage is not to overwhelm the reader with complexity but to build a transparent, easily-followable narrative of what you’ve found. By starting with a clear presentation of your findings, you’re laying the groundwork for a powerful, credible discussion chapter that can tackle sophisticated analyses and weighty implications, underpinned by a comprehensible and compelling dataset.

There will be a necessary degree of overlap and repetition between this section (and the discussion chapter in general) and the findings chapter. However, there’s a subtle difference in the way in which the data is introduced in the findings and discussion chapters .

In the findings chapter, you’re generally presenting raw data or observations without interpreting what they mean. In the Discussion chapter, you take those same findings and begin to explore their implications, relate them to existing theories, and evaluate their significance. The danger, however, lies in creating excessive repetition between the two chapters, which can fatigue the reader and dilute the impact of your arguments.

To mitigate this, consider employing the following strategies:

• Selective Highlighting : Choose only the most critical findings to revisit in the Discussion chapter. You don’t need to regurgitate every data point, only those central to the questions you aim to answer in this chapter.
• Narrative Framing : When you bring up a finding in the Discussion chapter, introduce it as a stepping stone to a broader point or argument, rather than an isolated fact. This technique helps the reader understand why you’re revisiting this information and what new aspects you’ll be unveiling.
• Use Different Presentation Formats : If the Findings chapter is heavy on tables and figures, consider summarising key points in a narrative form in the Discussion chapter or vice versa.

By thoughtfully selecting what to revisit and framing it within a new context, you can transform what might appear as repetition into a coherent and evolving narrative that adds value to your thesis. Read more about the difference between the findings and discussion chapters here .

Interpreting and Contextualising Results 

It’s in the discussion chapter that you offer the interpretation and context for your research findings.

Here, you transition from being a data ‘gatherer’ to a data ‘interpreter’, weaving together the threads of research questions, data, methods, literature and theory to tell a complex story. While the Results chapter may offer the “what,” the PhD discussion chapter sheds light on the “why” and “how.” 

For example, if you’re a social scientist studying the effects of social media on mental health, your results chapter might show statistical data indicating a correlation between social media use and anxiety. However, it’s in your discussion chapter that you would compare these findings to existing literature, perhaps linking them to existing theories or debates. This adds a layer of depth and context that transcends the numerical data, inviting academic dialogue and potential future research avenues.

There are three ways in which you can synthesise your findings:

• Interpretation : Begin by interpreting your findings. Use comparisons, contrasts, and correlations to explain the significance of the results. This is where you should also address any unexpected outcomes and explain them.
• Contextualisation : After interpretation, provide a context to situate your findings within the existing body of knowledge. Link back to your Literature Review and Theoretical Framework to show how your research aligns with or diverges from previous work. More on this below.
• Evaluation : Finally, critically evaluate your own research. Discuss its limitations, the implications of your findings, and offer recommendations for future research.

Whether you’re in natural sciences exploring a new chemical compound or in humanities dissecting a piece of classical literature, the discussion chapter is your opportunity to show that your research not only answers specific questions but also contributes to a wider understanding of your field. It’s not enough to say, for instance, that a new drug successfully reduced symptoms of depression in 60% of study participants. You must explore what that 60% means.

• Is it a statistically significant improvement over existing treatments?
• What might be the physiological or psychological mechanisms at work?
• Could your research method have influenced these outcomes?

There’s an art to explaining and synthesising your findings [Link to “How to Explain Your Findings”], but think of it this way: this is where you shine a light on the ‘why’ and ‘how’ of your findings, delving into the nuances that raw data can’t express.

Evaluating Existing Theories and Models  

Beyond explaining your findings, the PhD discussion chapter allows you to evaluate the existing theories and models that you’ve cited in your literature review  and/or theory framework chapter (not sure of the difference? Click here) . Your results could either reinforce established theories or challenge them, both of which significantly contribute to your field.

• For instance, did your research on renewable energy technologies confirm the economic theories suggesting that green energy can be cost-effective?
• Or did your social research provide empirical evidence that contradicts widely held beliefs in your field?

The PhD discussion chapter therefore serves as the space where the theories, concepts, ideas and hypotheses that make up and informed your theory framework and which you touched upon in your literature review intersect with the empirical data you’ve presented.

You’re not just mapping your findings onto the theories and models; you’re dissecting them, affirming or challenging them, and potentially even extending or refining them based on what you’ve discovered.

For instance, if you’re working on a thesis in psychology concerning cognitive development in early childhood, your Literature Review may have discussed Piaget’s stages of cognitive development. However, let’s say your findings indicate some nuances or exceptions to Piaget’s theories, or perhaps children in a certain demographic don’t follow the stages as previously thought.

Your discussion chapter is where you can make the argument that perhaps Piaget’s model, while generally accurate, might require some modification to account for these cases.

• Affirming Theories : If your data aligns closely with the existing theories and models, the PhD discussion chapter serves to strengthen their credibility. Here, you’re lending empirical support to theoretical frameworks.
• Challenging Theories : Alternatively, your findings might contradict or challenge the prevailing theories. This is not a shortcoming; instead, it opens the door for re-evaluation and progress in the field, which is just as valuable.
• Extending or Refining Theories : Perhaps your research uncovers additional variables or conditions that existing models have not accounted for. In such cases, you’re pushing the envelope, extending the current boundaries of understanding.

As you evaluate existing theories and models, be comprehensive yet nuanced. Draw on varied disciplines if relevant. For example, if your thesis is at the intersection of public health and social policy, integrate models from both fields to offer a multi-faceted discussion. Being interdisciplinary can make your discussion richer and more impactful.

Ultimately, the discussion chapter offers you a platform to voice your scholarly interpretation and judgment. You’re participating in a broader academic dialogue, not just narrating your findings but positioning them in a web of knowledge that spans across time, disciplines, and viewpoints.

Discuss Unexpected Results

The discussion chapter is where you also discuss things that didn’t quite work out as planned. In particular, results that were unexpected.

Sometimes the most perplexing data offers the most valuable insights. Don’t shy away from discussing unexpected results; these could be the starting points for future research or even paradigm shifts in your field.

When your research yields findings that diverge from established theories or commonly held beliefs, you’re offered a unique opportunity to challenge and extend existing knowledge.

Take the field of primary education as an illustrative example. Assume you’re researching the efficacy of a specific teaching methodology that prior studies have lauded. However, your data reveals that while the method works wonders for one subgroup of students, it fails to benefit another subgroup. Far from diminishing the value of your research, this unexpected outcome presents an exciting opening. It beckons further inquiry into why the teaching methodology yielded disparate impacts, which could eventually result in more tailored and effective educational strategies.

In the realm of scientific discoveries, the significance of unexpected results cannot be overstated. Alexander Fleming’s accidental discovery of penicillin originated from what appeared to be a ‘failed’ experiment, but it revolutionised medicine. Similarly, the unintended discovery of cosmic microwave background radiation provided pivotal support for the Big Bang theory. In both instances, what seemed like anomalies paved the way for transformative understanding.

The first task when you encounter unexpected findings is to set them apart from the expected outcomes clearly. Delineate a specific section in your discussion chapter to delve into these anomalies, affording them the attention they merit.

Next, engage in hypothesising why these peculiarities emerged. This could be the point where your years of study and your depth of understanding of your subject really shine. Are there confounding variables that weren’t initially apparent? Could there be an entirely unexplored underlying mechanism at play? Take your reader on this exploration with you, and offer educated guesses based on your literature review and study design.

Lastly, don’t forget to consider and discuss the wider implications of these findings. Could they potentially refute longstanding theories or present the need for a shift in the prevailing school of thought? Or perhaps they hint at previously unthought-of applications or solutions to existing problems? Reflect on how these unexpected results might fit into the broader academic conversation and where future research might take these findings.

By earnestly and transparently tackling unexpected results, you exhibit a commitment to rigorous academic research. The willingness to entertain complexity and to follow the research—even when it leads in unpredictable directions—is a mark of scholarly integrity and courage. This holds true irrespective of your academic discipline, from the humanities and social sciences to STEM fields.

Answering the “so what?” Question

 In your findings chapter you would have presented the data. In the discussion chapter, you answer the ‘so what’ question. Make sure to address it explicitly. Why does your research matter? Who benefits from it? How does it advance the scholarly discourse?

 As a PhD student, you’ve already invested a substantial amount of time and effort into your research. Therefore, it’s crucial to articulate its importance not only to validate your own work but also to contribute meaningfully to your field and, in some cases, to society at large.

 Answering the “so what?” question means connecting the dots between your isolated research findings and the larger intellectual landscape. It requires you to extend your analysis beyond the specifics of your study, considering how it advances the scholarly discourse in your field. For instance, if your research closes a significant gap in the literature, makes a theoretical breakthrough,

Example in Public Health : If your research finds that community-led sanitation programs are far more effective than government-implemented ones, then the “So What?” is clear: policy-makers need to see this data. But that doesn’t mean you don’t still need to discuss it.

Example in Literature : If your research uncovers previously unnoticed patterns of symbolism in 19th-century Russian literature, the “So What?” could be a deeper understanding of how literature reflects societal anxieties of the time.

In order to make your discussion chapter compelling and relevant, it’s imperative to always highlight why your research matters. This goes beyond simply reiterating your findings; you need to connect the dots and show how your research fits into the broader academic landscape. Are you challenging existing theories, confirming previous studies, or offering a new perspective? Establishing the academic importance of your work provides a solid footing for its wider application.

Further to establishing academic relevance, also aim to illuminate the real-world implications of your findings. What are the practical outcomes that could arise from your research? Are there specific scenarios or applications where your research could be a game-changer? For instance, if your study uncovers a more effective method of teaching reading to children with dyslexia, explicitly mention how this could revolutionise educational approaches and improve quality of life for those affected. Providing concrete scenarios enhances the applicability of your research, proving that it doesn’t merely exist in the realm of academic abstraction, but has tangible impacts that can affect change.

Limitations and Future Research

 The quest for perfection is more a journey than a destination. This especially holds true in the context of a PhD thesis. Therefore, a well-crafted Discussion chapter should include a section devoted to the limitations of your research, as it establishes the scope, reliability, and validity of your work. Acknowledging limitations is not an act of undermining your research; instead, it embodies scholarly integrity and rigorous academic thinking.

Being upfront about limitations is essentially about being honest, not only with your readers but also with yourself as a researcher. For instance, if you’ve conducted a survey-based study in psychology but only managed to collect a small number of responses, admitting this limitation provides context for your findings. Perhaps the conclusions drawn from such a sample size are not universally applicable but could still offer significant insights into a particular demographic or condition

• Do not shy away from discussing limitations in fear that it might weaken your arguments.
• Clearly delineate the scope of your research, specifying what it does and doesn’t address.

For example, in a medical research study, if your sample size predominantly consists of individuals from a particular age group, admitting this limitation helps frame your research within that context. Or, if you’re a literature student, if your analysis focuses solely on the works of a single author, your findings might not be generalisable to broader literary trends.

Discussing limitations openly doesn’t devalue your work; it adds a layer of trustworthiness. It assures the reader—and the academic community at large—that you have a nuanced understanding of your research context. It demonstrates that you can critically evaluate your own work, a skill that is paramount.

Your PhD Thesis. On one page.

Example outline for a discussion chapter:.

I’ve included a suggested outline for a PhD discussion chapter. It’s important to note that no two PhDs are alike, and yours may well (probably will) diverge from this. The purpose here is to show how all the various factors we’ve discussed above fit together.

Introduction

• Brief Overview of Research Objectives and Key Findings
• Purpose of the Discussion Chapter

Summary of Key Findings

• Brief Restatement of Research Findings
• Comparison with Initial Hypotheses or Research Questions

Interpretation of Findings

• Contextualisation of Results
• Significance and Implications of the Findings

Evaluation of Existing Theories and Models

• How Your Findings Support or Challenge Previous Work
• Conceptual Contributions of Your Study
• Acknowledgment of Study Limitations
• Suggestions for Future Research
• Summation of Key Points
• Broader Implications and Contributions of the Research
• Final Thoughts and Future Directions

Once you’ve navigated through the complexities of your PhD research, you’re now faced with the challenge of bringing it all together in your discussion chapter. While you’ve already considered various facets like summarising findings, evaluating existing theories, and acknowledging limitations, there are some “easy wins”—small, yet impactful steps—that can help strengthen this critical chapter.

The Power of a Well-Structured Narrative

Begin with a well-structured narrative that clearly outlines your arguments. Tell the reader what the destination is at the outset of the chapter, and then make sure each paragraph is a stepping stone to that destination.

Each paragraph should serve a purpose and should logically follow the previous one. This helps in making your discussion coherent and easy to follow.

• Use transition sentences between paragraphs to guide the reader through your argument.
• Make sure each paragraph adds a new dimension to your discussion.

Data Visualisation Tools

Visual aids aren’t just for presentations; they can provide tremendous value in a discussion chapter. Diagrams, charts, or graphs can provide a visual break and help to emphasise your points effectively.

• Use graphs or charts to represent trends that support your argument.
• Always caption your visuals and reference them in the text.

Integrate Feedback Actively

It’s often beneficial to have colleagues, advisors, or other experts review your discussion section before finalising it. They can offer fresh perspectives and may catch gaps or ambiguities that you’ve missed.

• Seek feedback but also know when to filter it, sticking to advice that genuinely enhances your work.
• Don’t wait until the last minute for feedback; give reviewers ample time.

Highlight the Broader Implications

While you’ll delve into this more in your conclusion, don’t shy away from previewing the broader implications of your work in your discussion. Make it clear why your research matters in a wider context.

• State the broader implications but keep them tightly related to your research findings.
• Avoid making grand claims that your research can’t support

In the journey toward a PhD, learning ‘how to write like a doctor’ is more than mastering grammar or honing your prose; it’s about flexing your academic muscles with confidence and authority. It is in the discussion chapter that you really start flexing, and which you really can and need to speak like a doctor.

For many, this is the first instance of challenging the hegemony of existing literature, refuting established theories, or proposing innovative frameworks. It’s an intimidating task; after all, these are the ideas and research paradigms you’ve been learning about throughout your educational journey. Suddenly, you’re not just absorbing knowledge; you’re contributing to it, critiquing it, and perhaps even changing its trajectory. If it feels challenging, remember that’s because it’s new, and that’s why it’s hard. However, you’ve made it this far, and that alone testifies to your academic rigour and capability. You’ve earned the right to be heard; now it’s time to speak with the academic authority that has been years in the making. So, don’t hold back—flex those academic muscles and carve your niche in the scholarly conversation.

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• What Is a PhD Thesis?
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This page will explain what a PhD thesis is and offer advice on how to write a good thesis, from outlining the typical structure to guiding you through the referencing. A summary of this page is as follows:

• A PhD thesis is a concentrated piece of original research which must be carried out by all PhD students in order to successfully earn their doctoral degree.
• The fundamental purpose of a thesis is to explain the conclusion that has been reached as a result of undertaking the research project.
• The typical PhD thesis structure will contain four chapters of original work sandwiched between a literature review chapter and a concluding chapter.
• There is no universal rule for the length of a thesis, but general guidelines set the word count between 70,000 to 100,000 words .

What Is a Thesis?

A thesis is the main output of a PhD as it explains your workflow in reaching the conclusions you have come to in undertaking the research project. As a result, much of the content of your thesis will be based around your chapters of original work.

For your thesis to be successful, it needs to adequately defend your argument and provide a unique or increased insight into your field that was not previously available. As such, you can’t rely on other ideas or results to produce your thesis; it needs to be an original piece of text that belongs to you and you alone.

What Should a Thesis Include?

Although each thesis will be unique, they will all follow the same general format. To demonstrate this, we’ve put together an example structure of a PhD thesis and explained what you should include in each section below.

Acknowledgements

This is a personal section which you may or may not choose to include. The vast majority of students include it, giving both gratitude and recognition to their supervisor, university, sponsor/funder and anyone else who has supported them along the way.

1. Introduction

Provide a brief overview of your reason for carrying out your research project and what you hope to achieve by undertaking it. Following this, explain the structure of your thesis to give the reader context for what he or she is about to read.

2. Literature Review

Set the context of your research by explaining the foundation of what is currently known within your field of research, what recent developments have occurred, and where the gaps in knowledge are. You should conclude the literature review by outlining the overarching aims and objectives of the research project.

3. Main Body

This section focuses on explaining all aspects of your original research and so will form the bulk of your thesis. Typically, this section will contain four chapters covering the below:

• your research/data collection methodologies,
• your results,
• a comprehensive analysis of your results,
• a detailed discussion of your findings.

Depending on your project, each of your chapters may independently contain the structure listed above or in some projects, each chapter could be focussed entirely on one aspect (e.g. a standalone results chapter). Ideally, each of these chapters should be formatted such that they could be translated into papers for submission to peer-reviewed journals. Therefore, following your PhD, you should be able to submit papers for peer-review by reusing content you have already produced.

4. Conclusion

The conclusion will be a summary of your key findings with emphasis placed on the new contributions you have made to your field.

When producing your conclusion, it’s imperative that you relate it back to your original research aims, objectives and hypotheses. Make sure you have answered your original question.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

How Many Words Is a PhD Thesis?

A common question we receive from students is – “how long should my thesis be?“.

Every university has different guidelines on this matter, therefore, consult with your university to get an understanding of their full requirements. Generally speaking, most supervisors will suggest somewhere between 70,000 and 100,000 words . This usually corresponds to somewhere between 250 – 350 pages .

We must stress that this is flexible, and it is important not to focus solely on the length of your thesis, but rather the quality.

How Do I Format My Thesis?

Although the exact formatting requirements will vary depending on the university, the typical formatting policies adopted by most universities are:

What Happens When I Finish My Thesis?

After you have submitted your thesis, you will attend a viva . A viva is an interview-style examination during which you are required to defend your thesis and answer questions on it. The aim of the viva is to convince your examiners that your work is of the level required for a doctoral degree. It is one of the last steps in the PhD process and arguably one of the most daunting!

For more information on the viva process and for tips on how to confidently pass it, please refer to our in-depth PhD Viva Guide .

How Do I Publish My Thesis?

Unfortunately, you can’t publish your thesis in its entirety in a journal. However, universities can make it available for others to read through their library system.

If you want to submit your work in a journal, you will need to develop it into one or more peer-reviewed papers. This will largely involve reformatting, condensing and tailoring it to meet the standards of the journal you are targeting.

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• Manuscript Preparation

Know How to Structure Your PhD Thesis

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Table of Contents

In your academic career, few projects are more important than your PhD thesis. Unfortunately, many university professors and advisors assume that their students know how to structure a PhD. Books have literally been written on the subject, but there’s no need to read a book in order to know about PhD thesis paper format and structure. With that said, however, it’s important to understand that your PhD thesis format requirement may not be the same as another student’s. The bottom line is that how to structure a PhD thesis often depends on your university and department guidelines.

But, let’s take a look at a general PhD thesis format. We’ll look at the main sections, and how to connect them to each other. We’ll also examine different hints and tips for each of the sections. As you read through this toolkit, compare it to published PhD theses in your area of study to see how a real-life example looks.

Main Sections of a PhD Thesis

In almost every PhD thesis or dissertation, there are standard sections. Of course, some of these may differ, depending on your university or department requirements, as well as your topic of study, but this will give you a good idea of the basic components of a PhD thesis format.

• Abstract : The abstract is a brief summary that quickly outlines your research, touches on each of the main sections of your thesis, and clearly outlines your contribution to the field by way of your PhD thesis. Even though the abstract is very short, similar to what you’ve seen in published research articles, its impact shouldn’t be underestimated. The abstract is there to answer the most important question to the reviewer. “Why is this important?”
• Introduction : In this section, you help the reviewer understand your entire dissertation, including what your paper is about, why it’s important to the field, a brief description of your methodology, and how your research and the thesis are laid out. Think of your introduction as an expansion of your abstract.
• Literature Review : Within the literature review, you are making a case for your new research by telling the story of the work that’s already been done. You’ll cover a bit about the history of the topic at hand, and how your study fits into the present and future.
• Theory Framework : Here, you explain assumptions related to your study. Here you’re explaining to the review what theoretical concepts you might have used in your research, how it relates to existing knowledge and ideas.
• Methods : This section of a PhD thesis is typically the most detailed and descriptive, depending of course on your research design. Here you’ll discuss the specific techniques you used to get the information you were looking for, in addition to how those methods are relevant and appropriate, as well as how you specifically used each method described.
• Results : Here you present your empirical findings. This section is sometimes also called the “empiracles” chapter. This section is usually pretty straightforward and technical, and full of details. Don’t shortcut this chapter.
• Discussion : This can be a tricky chapter, because it’s where you want to show the reviewer that you know what you’re talking about. You need to speak as a PhD versus a student. The discussion chapter is similar to the empirical/results chapter, but you’re building on those results to push the new information that you learned, prior to making your conclusion.
• Conclusion : Here, you take a step back and reflect on what your original goals and intentions for the research were. You’ll outline them in context of your new findings and expertise.

Tips for your PhD Thesis Format

As you put together your PhD thesis, it’s easy to get a little overwhelmed. Here are some tips that might keep you on track.

• Don’t try to write your PhD as a first-draft. Every great masterwork has typically been edited, and edited, and…edited.
• Work with your thesis supervisor to plan the structure and format of your PhD thesis. Be prepared to rewrite each section, as you work out rough drafts. Don’t get discouraged by this process. It’s typical.
• Make your writing interesting. Academic writing has a reputation of being very dry.
• You don’t have to necessarily work on the chapters and sections outlined above in chronological order. Work on each section as things come up, and while your work on that section is relevant to what you’re doing.
• Don’t rush things. Write a first draft, and leave it for a few days, so you can come back to it with a more critical take. Look at it objectively and carefully grammatical errors, clarity, logic and flow.
• Know what style your references need to be in, and utilize tools out there to organize them in the required format.
• It’s easier to accidentally plagiarize than you think. Make sure you’re referencing appropriately, and check your document for inadvertent plagiarism throughout your writing process.

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