What is a methodology chapter?

The chapter that explains how you carried out your study: the design, the participants or data, the tools, the procedure, the analysis and the steps you took to make your findings trustworthy. Another researcher should be able to understand and, in principle, repeat what you did.

What is the difference between methodology and methods?

Methodology is the overall approach and the reasoning behind it, such as why you chose a qualitative design. Methods are the specific techniques you used, such as semi-structured interviews or a survey. Most chapters cover both.

What tense should I use?

Past tense in a finished dissertation, because you describe what you did. In a proposal, use the future tense for what you will do.

How long should the chapter be?

Often 10 to 20 percent of the dissertation, depending on the field and design. Empirical projects usually need more than literature-based ones.

Do I need to justify every choice?

You should justify the major ones, such as your design, sampling and analysis, by linking them to your research questions and to methodological literature. Routine details need description, not long defense.

Writing the Methodology Chapter: A Practical Guide

The methodology chapter is where a reader decides whether to trust your findings. It shows what you did, why you did it that way and how you protected the quality of your evidence. It is also a chapter that can be written early, since much of it grows out of your proposal, and a good one makes the results and discussion chapters easier to write.

This guide covers the standard parts of the chapter, how to justify your choices and how the chapter differs across approaches.

What the chapter must do

A methodology chapter has three jobs.

Describe exactly what you did, in enough detail to be understood and evaluated.
Justify your choices by linking them to your research questions and to methodological literature.
Show quality by explaining how you addressed validity, reliability or trustworthiness, and ethics.

It is not a textbook on research methods. Include only the theory needed to justify your decisions.

The standard structure

Departments vary, but most chapters follow this order.

Section	What it contains
Introduction	Purpose of the chapter, restated questions, overview
Research philosophy or paradigm	Your view of knowledge, if your field expects it
Research design	The overall approach and why it fits
Setting and participants or data	Who or what you studied, and how you selected them
Instruments or data sources	Surveys, interview guides, tests, documents or datasets
Procedure	The steps, in order
Data analysis	How you processed and analyzed the data
Validity, reliability or trustworthiness	How you made the results credible
Ethical considerations	Consent, confidentiality, approvals
Limitations	Constraints of the design
Summary	A short wrap-up

Introduction

Begin by restating your research questions and previewing the chapter. A short paragraph is enough. It reminds readers what the methods are meant to answer.

Research philosophy

Some fields, especially in the social sciences and business, expect a short discussion of the philosophical stance behind the study, such as positivism, interpretivism or pragmatism. Keep it brief and connect it to your design. If your department does not require it, skip it, or limit it to a sentence.

Research design

State your design and explain why it suits the question. Common designs include:

Experimental or quasi-experimental, to test the effect of an intervention.
Survey, to describe or compare groups across many people.
Case study, for in-depth understanding of a specific setting.
Ethnography or interviews, to explore experiences and meanings.
Document or secondary data analysis, using existing sources.
Mixed methods, combining approaches.

Our guide to qualitative vs quantitative research helps you choose. Justify the design in one or two paragraphs: what the question needs, and why this approach delivers it better than alternatives.

Participants, sampling and setting

Describe who or what you studied and how you chose them. Include:

The population you want to learn about.
The sampling method and why. See our guide to sampling methods explained.
The sample size and how you decided it.
Inclusion and exclusion criteria.
Recruitment: how you invited people.
The setting, such as a school, hospital or online platform.
A short description of the participants, while protecting anonymity.

Be honest about who is missing. A convenience sample from one university does not represent all students, and your chapter should say so.

Instruments and data sources

Explain how you collected data.

Surveys: how the questions were developed or chosen, scales used, and any piloting.
Interviews: the interview guide, the format and the length.
Tests or measures: their source, and evidence of validity and reliability.
Existing datasets or documents: where they came from and how you selected them.

Place copies of instruments in an appendix and refer to them. If you adapted an established measure, say how.

Procedure

Describe the steps in order: how you got approval, recruited participants, collected data, stored it and finished. Include dates or durations where useful. A clear procedure lets readers judge the quality of the evidence and lets other researchers replicate your work.

Data analysis

Say how you turned raw data into findings, and link the technique to your questions.

Quantitative: the software, how you cleaned data, descriptive statistics, the tests used and why, and the significance level. See our guide on data analysis basics for students.
Qualitative: the approach, such as thematic analysis, how you coded, who coded, how themes were developed and how you handled disagreements.
Mixed methods: how strands were analyzed and integrated.

Name the specific procedure, and cite a source for it, such as the authors of the thematic analysis framework you followed.

Validity, reliability and trustworthiness

Show how you protected the quality of your findings.

Approach	Typical concepts	Examples of steps
Quantitative	Validity, reliability, generalizability	Pilot testing, established scales, checking assumptions, power analysis
Qualitative	Credibility, transferability, dependability, confirmability	Member checking, thick description, audit trail, reflexivity, triangulation

Do not just name the concept. Describe what you did.

Ethical considerations

Cover:

Approval: the body that approved the study and the reference number.
Informed consent: how it was obtained.
Confidentiality and anonymity: how identities were protected.
Data management: storage, security and retention.
Risks and benefits: how you minimized harm.
Vulnerable groups, if relevant.

See our guide to research ethics and ethics approval for the process.

Limitations

Be honest about the constraints of your methods: sample size, sampling bias, self-report data, the setting, the time frame or the instruments. Explain how you reduced the impact and what it means for interpreting results. Honest limitations show maturity. They do not weaken a good project.

Writing style and level of detail

Use the past tense in a finished dissertation.
Use the first person if your field allows it, especially in qualitative work where your role matters.
Be precise. Numbers, names and dates, not vague descriptions.
Justify with sources. Link choices to methodological literature.
Avoid textbook summaries. Describe your study, not all possible methods.
Use tables for participant details or timelines.

Quantitative, qualitative and mixed chapters compared

Feature	Quantitative	Qualitative	Mixed methods
Emphasis	Measurement, sampling, statistics	Context, meaning, process	Integration of both
Quality language	Validity and reliability	Trustworthiness	Both, plus integration
Analysis section	Tests and software	Coding and themes	Both strands and how they connect
Researcher role	Usually minimized	Often discussed through reflexivity	Depends on the strands

Reporting what went wrong

Real studies rarely go exactly to plan. Recruitment is slower, response rates are lower, an instrument needs adjusting or a participant withdraws. A good methodology chapter reports these changes honestly: what happened, what you did about it and what it means for interpreting the results. Examiners trust writers who explain deviations, and they distrust chapters that read as though nothing ever went wrong. Keep a research diary during data collection, noting decisions and problems with dates, and you will have the material when you write.

Piloting and refining your instruments

Many studies run a small pilot before the main data collection: a handful of participants complete the survey or interview, and you check whether questions are clear, timing is realistic and the analysis works. Report what you changed as a result. A pilot is also a convenient way to test your recording equipment, your consent process and your coding approach. Even a pilot with five participants can save weeks of repair work later.

Common mistakes

Describing methods in general instead of what you actually did.
No justification for key choices.
Mismatch between questions and methods.
Missing details, such as sample size or how data were coded.
Overlong theory with little description.
Claiming too much about generalizability.
Skipping limitations.
Forgetting ethics details and approval numbers.

A quick checklist

Do I restate my questions?
Is the design justified?
Are participants, sampling and recruitment described?
Are instruments explained, with copies in an appendix?
Is the procedure clear and in order?
Is the analysis specific?
Have I addressed quality and ethics?
Are limitations honest?

Final thoughts

Write the methodology as if explaining your study to a careful reader who wants to know whether to believe it. Say what you did, why, and what you did to protect the evidence. Link choices to your questions, be specific and be honest about limits. A clear methodology makes everything that follows more convincing.