How to write a methodology chapter
A clear structure for the methodology chapter: philosophy, design, sample, data collection, analysis and ethics, each justified against your question.
10 min read · Reviewed 2026 · Written and reviewed by Chris McGarrigle
A dissertation methodology chapter explains and justifies what you did, why you did it that way, and why it was the appropriate way to answer your research question — not simply a description of steps taken.
The word 'justify' matters more than any other in this chapter. Examiners are less interested in reading that you used a survey than in reading why a survey was the right tool for your specific question, population and constraints, and why alternatives were rejected.
A well-organised methodology chapter typically moves from philosophical position down to practical detail: research philosophy, design, population and sampling, data collection, analysis approach, and ethics, in that order.
Start with your research philosophy, briefly
State your ontological and epistemological position in a short paragraph, then move on — this section should not dominate the chapter. Link the philosophy directly to your choice of design rather than treating it as an abstract exercise.
If you are unsure how philosophy relates to method, the research onion is a useful way to see how each layer (philosophy, approach, strategy, choices, time horizon, techniques) narrows down to your specific decisions.
Justify your research design
Explain whether your study is qualitative, quantitative or mixed methods, and why that choice fits your research question rather than your personal preference or comfort with statistics.
If your question asks 'how much' or 'to what extent', a quantitative design is usually implied. If it asks 'how' or 'why' people experience something, qualitative or mixed methods are more defensible. Make this connection explicit in the text.
Describe your population and sampling strategy
Define your target population precisely, state your sampling method (e.g. purposive, convenience, stratified random), and justify the sample size against what is normal for your method and discipline, not an arbitrary round number.
- Population: who or what could, in principle, be studied?
- Sampling frame: how did you access this population practically?
- Sampling method: probability or non-probability, and which specific technique?
- Sample size: justified against saturation, statistical power or convention, not guesswork.
Explain data collection and analysis in enough detail to replicate
Describe your instrument (survey, interview schedule, secondary dataset) in enough detail that another researcher could broadly repeat your process. State how data was collected, over what period, and any piloting you did.
Then describe your analysis approach — thematic analysis, regression, content analysis — and justify why it suits your data type and research question rather than simply naming it.
Address ethics, reflexivity and limitations
Summarise your ethical approval, consent process and data storage, and briefly acknowledge the limitations of your chosen design. If you are a qualitative researcher, a short reflexivity statement about your position relative to participants strengthens the chapter.
Common mistakes
- Describing methods textbook-style without ever justifying the choice against your question.
- Spending too many pages on philosophy relative to practical design decisions.
- Choosing a sample size arbitrarily rather than against saturation, power or convention.
- Omitting how data quality, validity or reliability issues were addressed.
- Treating ethics as an afterthought rather than integrating it into the design discussion.
Try this: The justification pass
- Go through your methodology draft and underline every sentence that states a decision (e.g. 'a survey was used').
- For each underlined sentence, check the next sentence justifies it against your research question.
- Where justification is missing, add one sentence explaining why alternatives were rejected.
- Read the chapter aloud — if it sounds like a list of steps rather than an argument, revise the connecting sentences.
Do it in SuperDiss
Work through philosophy, design, sampling and analysis with prompts that force justification, not just description.
Build your methodology with the Methodology toolStudents also ask
- What should a methodology chapter include?
- Research philosophy, research design, population and sampling strategy, data collection methods, analysis approach, and ethical considerations — each justified against your research question rather than simply described.
- How do I justify my methodology choices?
- For every major decision, explicitly state why it suits your research question and constraints, and briefly note what alternative you considered and rejected. Justification, not description, is what examiners are marking.
- Should the methodology chapter be written in past or present tense?
- Past tense for what you actually did ('a survey was distributed'), and present tense for general methodological principles ('thematic analysis is suited to identifying patterns across qualitative data'). Keep this distinction consistent throughout.
Related research: design the methodology
Choose philosophy, approach, sampling and ethics you can defend in the viva.
How to choose a methodology
A decision path from research question to methodology, plus how to write the justification examiners are looking for.
Research philosophy explained: ontology, epistemology and axiology
A clear introduction to research philosophy for dissertations: ontology, epistemology and axiology, and how they shape your methodology choices.
Qualitative vs quantitative research
The real difference between qualitative and quantitative dissertation research, and how to choose based on your question rather than your comfort zone.
How to get ethical approval
What ethics committees actually look for, the documents you need, and the mistakes that cause applications to be returned.
Continue your dissertation journey
- How to choose a methodology
- The research onion explained
- Sampling explained
- Research philosophy explained: ontology, epistemology and axiology
- Interpretivism vs positivism: which fits your dissertation?
Browse every guide in research methodology.
Read next
How to choose a methodology
A decision path from research question to methodology, plus how to write the justification examiners are looking for.
The research onion explained
The research onion as a decision-making tool rather than a diagram to copy: what each layer asks and how the layers constrain each other.
Sampling explained
Probability and non-probability sampling explained simply, with guidance on sample size and how to justify your choice.
This guide is general educational content. Your institution's regulations, handbook and supervisor's instructions always take precedence. Where a named framework is mentioned, consult the original source text rather than relying on this summary.