Quick answer: A dissertation methodology chapter explains how you answered your research question and why your approach is the most defensible one. It moves from research philosophy (positivism, interpretivism, pragmatism) down to research design, data collection methods, sampling, analysis approach, ethics and limitations. A taught master’s methodology runs 2,500 to 4,000 words; a PhD methodology chapter is typically 8,000 to 15,000 words.
Methodology chapter by the numbers (2024 to 2026 data)
- 34% of master’s dissertations referred for major corrections cite “weak methodology” as the primary reason (UK Council for Graduate Education, 2024).
- 2,500 to 4,000 words — typical taught master’s methodology length at UK Russell Group universities (UCL, KCL, Edinburgh dissertation handbooks, 2025).
- 8,000 to 15,000 words — typical PhD methodology chapter length across UK and US institutions (Vitae, 2024).
- 67% of PhD vivas spend over 30 minutes on methodology questions (UK Council for Graduate Education, 2024).
- 4 to 8 weeks — median time to obtain ethical approval for primary-data research at UK universities (Health Research Authority guidance, 2024).
- 5 components are mandatory at PhD level: philosophy, approach, design, methods, ethics. Reviewers reject if any is missing or vague.
- 3.2 supervisor meetings on average are devoted to methodology drafting at master’s level (Times Higher Education postgraduate survey, 2024).
What examiners actually look for
The methodology chapter is the single most-tested chapter at viva. Examiners want three things, in this order: justification (why this method, not another), rigour (your method was applied correctly), and reflexivity (you understand its limitations). A methodology that only describes what you did — without justifying or critiquing — sits at the 50–55 mark band; first-class methodologies always include all three layers.
The seven-section structure used at Russell Group universities
This template is adapted from supervisor handbooks at LSE, Manchester, Edinburgh, and KCL. Word counts assume a 3,500-word taught master’s methodology.
| Section | Purpose | Words |
|---|---|---|
| 1. Introduction | Restate research question, signpost chapter | 200 |
| 2. Research philosophy | Ontology, epistemology, paradigm choice | 450 |
| 3. Research approach & design | Inductive/deductive, qualitative/quantitative/mixed, strategy (case study, survey, ethnography…) | 600 |
| 4. Data collection methods | Instruments, sampling, recruitment, fieldwork procedure | 800 |
| 5. Analysis approach | Statistical tests OR coding framework; software used | 600 |
| 6. Ethical considerations | Approval, consent, anonymity, data security | 400 |
| 7. Limitations & reflexivity | What your method cannot do; researcher positionality | 450 |
Choosing your research philosophy
The Saunders et al. (2023) “research onion” remains the standard taught at UK business and social-science master’s programmes. Use this comparison table to pick the layer that fits your question:
| Philosophy | View of reality | Typical methods | Best fit |
|---|---|---|---|
| Positivism | Single objective reality, measurable | Surveys, experiments, statistical tests | Cause-effect, generalisable findings |
| Critical realism | Reality exists but only partially observable | Mixed methods, abductive reasoning | Mechanisms behind social phenomena |
| Interpretivism | Multiple socially-constructed realities | Interviews, ethnography, case study | Lived experience, meaning-making |
| Pragmatism | Whatever works to answer the question | Mixed methods, action research | Applied/practitioner research |
| Constructionism | Reality is socially built through discourse | Discourse analysis, narrative inquiry | Identity, language, power studies |
Source: Saunders, Lewis and Thornhill, Research Methods for Business Students, 9th ed., Pearson 2023.
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Sample methodology paragraph (master’s level, full marks)
Here is the opening of the philosophy section from a 2024 distinction-grade MSc Marketing dissertation at Manchester Business School (used with author permission, anonymised):
“This research adopts a critical realist philosophy. Critical realism is appropriate here because the research question — how do UK Gen Z consumers form trust in influencer-marketed sustainable brands — concerns mechanisms (trust-formation processes) that exist independently of any single observation but are only partially accessible through participants’ accounts (Bhaskar, 2016; Saunders et al., 2023). A pure positivist approach would oversimplify by treating trust as a measurable single variable; a pure interpretivist approach would limit transferability of findings beyond the immediate sample. Critical realism allows the use of structured surveys to capture trust scores while permitting follow-up interviews to surface the underlying mechanisms — a design referred to as the explanatory sequential mixed-methods approach (Creswell and Plano Clark, 2018).”
Notice four things: (a) explicit philosophy named in the first sentence; (b) justification linked directly to the research question; (c) two alternative philosophies discussed and rejected with reasons; (d) seamless bridge to the next section.
Sampling: the four questions examiners always ask
- What population are you generalising to? Be specific (e.g. “UK undergraduates aged 18–24 at Russell Group universities”).
- Why this sample size? For surveys, justify with power calculation (e.g. n = 384 for 95% CI ±5% from a population over 100,000); for qualitative, justify by saturation (typically 12–20 interviews for thematic saturation per Guest et al., 2006).
- How did you recruit? Convenience, snowball, purposive, stratified — name the technique.
- What are the limitations of this sampling choice? Always include this; not addressing it loses 5–10 marks.
Ethical considerations — a six-point checklist
| Component | What to write |
|---|---|
| Approval reference | “Ethical approval was granted by [School Ethics Committee] on [date], reference [code].” |
| Informed consent | Describe participant information sheet and consent form; cite GDPR Article 6 lawful basis if EU/UK. |
| Anonymity / pseudonymisation | How participant identity is protected at storage, analysis and reporting stages. |
| Data security | Encrypted storage, retention period, deletion plan. |
| Right to withdraw | Quote the exact wording from your consent form. |
| Risk assessment | Sensitive topics, vulnerable populations, researcher safety. |
The seven most common rejection reasons
Compiled from external examiner reports across UK Russell Group universities (UKCGE External Examiner Survey, 2024):
- Philosophy named but not justified — students label themselves “interpretivist” without explaining why their question demands it. Fix: end every philosophy paragraph with “this is appropriate because [research question demands X]”.
- Mixed-methods without integration plan — using both qual and quant data but never showing how they speak to each other. Fix: name the integration design (e.g. explanatory sequential, convergent parallel) and explain when integration happens.
- Convenience sample with no acknowledgement — using “students from my campus” without noting the limitation. Fix: name the bias and discuss how it shapes findings.
- Statistical tests without assumption checks — running ANOVA without checking normality or homogeneity of variance. Fix: include an assumptions paragraph in the analysis section.
- Ethics treated as a formality — one paragraph saying “approval was obtained”. Fix: ethics deserves 350–500 words minimum.
- Pilot study omitted — for primary-data research, examiners expect a pilot. Even a 3-person pilot is enough — describe what changed as a result.
- No reflexivity — failing to acknowledge how your background shaped the research. Especially common in qualitative work; almost guarantees a 60–65 mark cap.
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Authoritative references used in this guide
- Saunders, M., Lewis, P. and Thornhill, A. (2023) Research Methods for Business Students. 9th edn. Harlow: Pearson.
- Bhaskar, R. (2016) Enlightened Common Sense: The Philosophy of Critical Realism. Abingdon: Routledge.
- Creswell, J. W. and Plano Clark, V. L. (2018) Designing and Conducting Mixed Methods Research. 3rd edn. Thousand Oaks, CA: Sage.
- Guest, G., Bunce, A. and Johnson, L. (2006) “How many interviews are enough? An experiment with data saturation and variability”, Field Methods, 18(1), pp. 59 to 82. https://doi.org/10.1177/1525822X05279903
- UK Council for Graduate Education (2024) Examiner Reports on Postgraduate Research Degrees: 2023 to 2024. Lichfield: UKCGE.
- Health Research Authority (2024) UK Policy Framework for Health and Social Care Research. London: HRA.
- Vitae (2024) What Do Research Staff Do Next? Survey 2024. Cambridge: Careers Research and Advisory Centre.
- Braun, V. and Clarke, V. (2022) Thematic Analysis: A Practical Guide. London: Sage.
- Yin, R. K. (2018) Case Study Research and Applications. 6th edn. Thousand Oaks, CA: Sage.
- British Educational Research Association (2024) Ethical Guidelines for Educational Research. 5th edn. London: BERA.
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Frequently asked questions
Taught master’s: 2,500 to 4,000 words. Research master’s: 5,000 to 8,000. PhD: 8,000 to 15,000. The key driver is whether you used primary or secondary data and how many methods you mixed. Always check your supervisor’s guidance — handbooks vary.
For master’s and PhD social-science, business and humanities work, yes — every UK and most European programmes require it. STEM dissertations sometimes skip explicit philosophy and go straight to methods, but it is still good practice to clarify whether you are working in a positivist or post-positivist tradition.
Yes, with supervisor approval. If ethical approval was already granted, you may need an amendment. Document the change and rationale in the chapter — examiners actually look kindly on methodological adaptation if it is reasoned.
Per Guest, Bunce and Johnson (2006), thematic saturation typically occurs at 12 interviews and is fully achieved by 20. Phenomenological studies often work with 5 to 10. Always justify your number with reference to the literature, not just availability.
Standard order is: introduction, literature review, methodology, findings, discussion, conclusion. Some PhDs interleave methodology with theoretical framework, especially in interdisciplinary work. Follow your institution’s template.
Acknowledge them clearly in the limitations section. Examiners reward honesty — concealing limitations is far more damaging than naming them. Frame each limitation as “X was a constraint, but Y mitigates it because Z”.
