How to Write a Dissertation Methodology Chapter
The methodology chapter explains how you answered your research questions and why your approach was the right one. Examiners read it to decide whether they can trust your findings, so a clear, well-justified methodology protects the marks you earn in every chapter that follows.
What the methodology chapter needs to do
A good methodology does three jobs:
- Describes exactly what you did, in enough detail that another researcher could repeat it.
- Justifies each decision, showing why it suits your research questions better than the alternatives.
- Evaluates the approach honestly, including its limitations and how you reduced them.
Description alone is the most common weakness. "I used interviews" earns little credit; "I used semi-structured interviews because my questions explore how managers experience change, which requires depth and flexibility that a survey cannot provide" earns a lot more.
What to include, section by section
Follow your department's guidance if it gives a structure. Otherwise, these sections cover what most examiners expect. In a dissertation, the chapter is usually written in the past tense, because it describes what you did.
1. Introduction and research questions
Open with a short paragraph that restates your aim and research questions and explains how the chapter is organised. Reminding the reader of the questions makes it easier to show that every later choice serves them.
2. Research philosophy and approach
Many business, education and social science departments expect you to state your research philosophy, for example positivism or interpretivism, and whether your reasoning is deductive (testing a theory) or inductive (building understanding from the data). Keep this brief and practical: explain what your position means for how you collected and analysed data, rather than writing a long essay on philosophy. If your department does not ask for it, a sentence or two is enough.
3. Research design
State whether your study is quantitative, qualitative or mixed methods, and the specific design, such as a cross-sectional survey, case study, experiment or systematic review. Then justify it against your questions.
| If your question asks... | A design that often fits |
|---|---|
| How much, how many, or whether one thing is related to another | Quantitative: survey, experiment, secondary data analysis |
| How or why people experience, understand or do something | Qualitative: interviews, focus groups, case study |
| Both how widespread something is and why it happens | Mixed methods: for example a survey followed by interviews |
| What existing research says about a question | Systematic or structured literature review |
4. Sampling and participants
Explain who or what you studied and how you selected them. Include:
- Population and inclusion criteria: for example "nurses with at least two years' experience in NHS acute wards".
- Sampling method: random, stratified, purposive, convenience or snowball sampling, and why it was appropriate.
- Sample size: the number you aimed for and the number you achieved, with a reason. For surveys this may be a power calculation or response rate; for interviews, the point at which no new themes were emerging.
- Recruitment: how you contacted participants and over what period.
5. Data collection
Describe your instruments and procedure precisely. For a survey, explain where the questions came from (an established, validated scale is stronger than questions you wrote yourself), how it was piloted and how it was distributed. For interviews, describe the interview guide, the format (in person, phone or video), typical length and how you recorded and transcribed them. Put full questionnaires and interview guides in an appendix and refer to them.
6. Data analysis
Name the analysis technique and the software, and explain why it suits your data. Examples:
- Quantitative: descriptive statistics followed by t-tests, ANOVA, correlation or regression in SPSS, R or Excel, with a note on checking assumptions.
- Qualitative: thematic analysis, often following Braun and Clarke's six phases, content analysis or framework analysis, sometimes supported by NVivo.
7. Ethical considerations
Explain how you protected participants: informed consent, the right to withdraw, anonymity and confidentiality, secure data storage and how long data will be kept. State that you received ethics approval from your university if it was required, and include the approval letter in an appendix.
8. Reliability, validity and limitations
For quantitative work, discuss reliability (for example Cronbach's alpha for your scales) and validity. For qualitative work, discuss trustworthiness: credibility, transferability, dependability and confirmability, and steps such as member checking or keeping an audit trail. Then acknowledge the main limitations, such as a small or non-random sample or self-reported data, and explain how they affect the conclusions you can draw.
How to justify your choices
Justification is what lifts a methodology from adequate to strong. For each major decision:
- Link it to your research question. Show that the choice follows from what you need to find out.
- Cite methodological sources. Textbooks such as Saunders, Lewis and Thornhill's Research Methods for Business Students or Creswell and Creswell's Research Design show that your approach is recognised practice.
- Mention the alternative you rejected. Briefly explaining why you did not use a survey, for example, shows you made an informed decision.
- Point to similar studies. If respected studies in your field used the same method for similar questions, say so.
Common mistakes to avoid
- Writing a textbook. Long general explanations of every possible method, with little about your own study.
- Missing the "why". Describing what you did without justifying it.
- Vague detail. No sample size, no dates, no explanation of how participants were found.
- A mismatch between the questions and the method, such as using a closed-question survey to explore "how" and "why".
- Ignoring ethics or limitations, which suggests you have not thought critically about your own research.
- Reporting results here. Findings belong in the next chapter.
Frequently asked questions
How long should the methodology chapter be?
Typically around 15% of the total word count, so about 1,500 to 2,000 words in a 12,000 word dissertation. Check your handbook, as some departments set a specific range.
Do I need a methodology for a literature-based dissertation?
Yes. Explain how you searched for sources: databases, search terms, date ranges, inclusion and exclusion criteria, how many sources you screened and selected, and how you analysed them. A simple flow diagram of your search and selection process is a useful addition.
Should I write in the first person?
Conventions differ between fields. Many qualitative researchers write "I interviewed twelve participants", while some quantitative fields prefer the passive voice. Follow your department's guidance and your supervisor's preference, and be consistent.
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