How to Write a Dissertation Methodology Chapter

The methodology chapter explains how you answered your research question and why you did it that way. In most UK dissertations it is the third chapter, it comes after the literature review, and it carries a large share of the marks because it shows whether your findings can be trusted. Students often treat it as a description of what they did. Markers read it as an argument: every choice should be justified, connected to the research question, and honest about its limits.

This guide covers what the chapter needs to contain, a sensible order for it, how long each part should be, and the mistakes that cost marks most often. It applies to undergraduate and master’s dissertations in business, social sciences, education, nursing and health; PhD candidates follow the same logic at greater depth.

How long should the methodology chapter be?

A common guide is 10 to 15 per cent of the total word count. That means roughly 1,000 to 1,500 words in a 10,000-word dissertation, 1,500 to 2,000 words in a 12,000-word dissertation and about 2,000 to 2,500 words in a 15,000-word dissertation. Check your handbook: some programmes set a fixed length, and some ask for a separate methods chapter with the philosophical discussion kept short.

Put the instruments themselves (questionnaire, interview schedule, consent form, ethics approval letter) in the appendices and refer to them. The chapter should describe and justify them, not reproduce them.

What markers are looking for

• Alignment: the methods clearly fit the aims and research questions set out in Chapter 1.
• Justification: each choice is explained with reasons and, where relevant, supported by methods literature.
• Replicability: another researcher could repeat the study from your description.
• Awareness: you understand the weaknesses of your approach and did something about them.
• Ethics: approval was obtained and participants were protected.

A structure that works

The sections below are in the order most UK supervisors expect. Use them as headings or merge them where your programme prefers fewer sections.

1. Introduction

Two or three sentences. Restate the aim and research questions, say what the chapter covers and in what order.

2. Research philosophy

Research philosophy is your position on what counts as knowledge. The labels that UK business and social-science courses use most are positivism (reality is measurable and the researcher stays detached; it suits hypotheses, surveys and statistics), interpretivism (meaning is constructed by people and the researcher interprets it; it suits interviews and case studies), pragmatism (the research question decides the method; often used to justify mixed methods) and critical realism (an underlying reality exists but is seen through social structures and experience).

The “research onion” from Saunders, Lewis and Thornhill’s Research Methods for Business Students is the framework most UK business schools teach, and it is a reasonable way to order this chapter. Keep the philosophy section short: one or two paragraphs that name your position and say why it suits the question. A long tour of every philosophy is one of the most common ways to waste words.

3. Research approach

State whether the study is deductive (you start with theory or a hypothesis and test it), inductive (you collect data and build explanations from it) or abductive (you move between the two). Deductive work usually pairs with quantitative methods and inductive work with qualitative methods, but say explicitly which you used and why.

4. Research design and strategy

Describe the overall plan: experiment, survey, case study, action research, ethnography, grounded theory, systematic review or secondary data analysis. Say whether it is cross-sectional (one point in time) or longitudinal (repeated over time), and whether it is quantitative, qualitative or mixed methods. If it is mixed methods, explain how the two strands relate: for example, interviews first to build a questionnaire, or a survey followed by interviews that explain the numbers.

Give the practical reasons as well as the academic ones. A single case study chosen because you had access to the organisation is a legitimate reason, provided you discuss what it means for generalisability.

5. Data collection methods

For each method, describe the instrument, how it was developed and how it was administered. For a questionnaire: the number and type of questions, the scales used (for example a five-point Likert scale), where the items came from (adapted from a validated instrument or written for this study), how it was distributed and how long it took to complete. For interviews: structured, semi-structured or unstructured; how the guide was built; length; location or platform; how they were recorded and transcribed. For secondary data: the source, the period covered, the variables used and any cleaning you did.

Report your pilot study if you ran one, even if it was small, and describe what changed as a result. If you did not pilot, say so and explain how you checked the instrument in another way, such as supervisor review.

6. Population, sampling and participants

Define the population (everyone your findings are meant to apply to), the sampling frame (the list you could actually sample from) and the sampling technique. Probability techniques include simple random, systematic and stratified sampling. Non-probability techniques include purposive, convenience, quota and snowball sampling. Most student projects use non-probability sampling; that is acceptable if you say so and discuss the consequences.

Justify the sample size. For quantitative work this might be a power calculation, a rule of thumb for the statistical test, or a comparison with similar published studies. For qualitative work, refer to the depth of data and to saturation, and give the final number of participants with basic characteristics in a short table.

7. Data analysis

Explain how the raw data became findings. Quantitative studies should name the software (SPSS, R, Stata, Excel), the descriptive statistics reported and the inferential tests used (for example independent-samples t-tests, chi-square, correlation, multiple regression), with the reasons for choosing them and the significance level. Qualitative studies should name the approach and the procedure. Thematic analysis following Braun and Clarke’s six phases is the most common choice in UK dissertations; framework analysis is common in health research; content analysis suits documents. Say whether coding was done by hand or in software such as NVivo, and how themes were checked.

8. Reliability, validity and trustworthiness

Quantitative studies discuss reliability (consistency of measurement, often reported with Cronbach’s alpha for scales) and validity (whether you measured what you intended, including content and construct validity). Qualitative studies more often use trustworthiness criteria: credibility, transferability, dependability and confirmability. Describe the concrete steps you took, such as piloting, using validated scales, keeping an audit trail, writing reflexive notes or checking interpretations with participants.

9. Ethical considerations

State that ethical approval was obtained, from which committee and when, and reference the approval letter in the appendix. Cover informed consent, the right to withdraw, anonymity and confidentiality, how data were stored and when they will be destroyed (in line with UK GDPR and your university’s data policy), and any particular risks for participants or for you as the researcher. Projects involving NHS patients, staff or premises usually need Health Research Authority approval through IRAS in addition to university approval, and that process takes months, so mention how it shaped your timetable if it did.

If your study used only secondary or publicly available data, say so and explain why full ethical review was not required or how a light-touch review was completed.

10. Limitations

Every design has limitations; the mark comes from recognising the ones that matter for your question and saying what you did to reduce them. Typical examples are a small or self-selected sample, a single organisation, self-reported data, a short data-collection window and the researcher’s own position in the setting. Do not list limitations that you then ignore in the discussion chapter.

11. Chapter summary

Three or four sentences that recap the design and lead into the findings chapter.

How to write it: five rules

1. Write in the past tense. You are reporting what you did, not proposing what you will do. If you are converting your proposal into this chapter, change every “will” to “was” and check that the details still match what actually happened.
2. Justify, do not just describe. A useful pattern for each decision is: what you did, why it suited the research question, what the alternative was and why you rejected it, and what limitation remains.
3. Check whether the first person is allowed. Many UK programmes now accept “I” in methodology chapters, especially for qualitative work, but some still require the passive voice. The handbook or your supervisor decides.
4. Keep methods literature light. Cite a methods textbook or a key paper where it supports a choice; do not write a second literature review.
5. Be specific. “Interviews were conducted” earns little. “Nine semi-structured interviews of 35 to 50 minutes were conducted on Microsoft Teams between February and March, recorded with consent and transcribed verbatim” earns marks and lets the reader judge the study.

A worked example of one decision

Here is the pattern applied to a sampling choice in a master’s project on remote working in a UK charity:

Participants were recruited through purposive sampling, targeting staff who had worked both in the office and remotely since 2020 so that they could compare the two. Purposive sampling was chosen over random sampling because the aim was depth of experience rather than statistical representativeness (Bryman, 2016). The main limitation is that volunteers may hold stronger views than colleagues who declined; to reduce this, the invitation was sent to all eligible staff and the final sample of ten included both managers and non-managers across three departments.

Four sentences cover the method, the justification, the alternative and the limitation with its mitigation. Most paragraphs in the chapter can follow the same shape.

Common mistakes

• Pages on research philosophy followed by one line on what you actually did.
• A questionnaire or interview schedule described so vaguely that nobody could repeat it.
• No explanation of why the sample size was adequate.
• Analysis described as “the data were analysed” without naming a procedure.
• Ethics treated as a formality rather than a set of decisions.
• Limitations copied from a template rather than drawn from this study.
• Mixing future and past tense because the chapter was pasted from the proposal.

Pre-submission checklist

• Every method links back to a research question stated in Chapter 1.
• Philosophy, approach, design, methods, sampling, analysis and ethics each appear, in a logical order.
• Sample size and recruitment are justified, and participant numbers match those in the findings chapter.
• Instruments, consent forms and the ethics approval letter are in the appendices and referenced.
• Reliability or trustworthiness steps are described, not just named.
• Limitations are specific and reappear in the discussion.
• Tense is consistent and the chapter reflects what actually happened.

Frequently asked questions

What is the difference between methodology and methods?

Methodology is the overall reasoning behind the study: the philosophy, approach and design. Methods are the specific techniques used to collect and analyse data. A methodology chapter covers both, with the reasoning first.

Can a dissertation use only secondary data?

Yes. Many business, economics and health dissertations analyse existing datasets, company reports or published studies. You still need a methodology chapter that explains the sources, the selection criteria, the variables or documents used, the analysis and the limitations of data you did not collect yourself.

Do I need a pilot study?

It is not always required, but it is one of the easiest ways to show rigour. Even testing a questionnaire on five people and reporting what you changed strengthens the chapter.

Where do the research questions go?

They are introduced in Chapter 1 and restated briefly at the start of the methodology chapter so the reader can see how each method serves them.

Should the methodology chapter include results?

No. Describe how the data were analysed, but keep the findings themselves for the next chapter.

Further reading

• Braun, V. and Clarke, V. (2006) ‘Using thematic analysis in psychology’, Qualitative Research in Psychology, 3(2), pp. 77–101.
• Bryman, A. (2016) Social Research Methods. 5th edn. Oxford: Oxford University Press.
• Creswell, J.W. and Creswell, J.D. (2018) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 5th edn. Thousand Oaks, CA: SAGE.
• Saunders, M., Lewis, P. and Thornhill, A. (2023) Research Methods for Business Students. 9th edn. Harlow: Pearson.