How to Write a Dissertation Methodology

Learning how to write a dissertation methodology means explaining two things: how you answered your research question, and why those methods were the most appropriate choice. A strong chapter sets out your research design, data collection, sampling, analysis, ethics and limitations, and justifies each decision with reference to your question and to methods literature.

The methodology is where many dissertations lose marks, not because the methods are wrong, but because the choices are described without being justified. This guide gives you a chapter structure, a justification formula and the specific points UK markers look for.

What is a dissertation methodology?

A dissertation methodology is the chapter that describes and justifies the research approach you used to answer your research question. It covers the overall design, the methods of collecting and analysing data, how participants or sources were selected, how ethical issues were handled and the limitations of the approach, so the reader can judge how trustworthy your findings are.

"Methods" are the specific tools you used, such as interviews, surveys or regression. "Methodology" is the reasoning behind choosing them. Markers want both.

How long should a dissertation methodology be?

A methodology chapter is typically 10 to 15% of a dissertation's word count: about 1,000 to 1,500 words in a 10,000-word undergraduate dissertation and 1,500 to 2,250 words in a 15,000-word master's dissertation. Empirical projects with primary data usually need the upper end, and secondary-research dissertations often need less.

How do you structure a methodology chapter?

Structure the chapter so it moves from broad choices to specific procedures: restate the research question, explain the research philosophy and approach, describe the research design, then data collection, sampling, data analysis, ethics and limitations. Use a subheading for each part so the marker can find each element quickly.

What is a research philosophy, and do you need one?

A research philosophy is your position on how knowledge about your topic can be gained. Positivism assumes an objective reality measured through data and is linked to quantitative methods; interpretivism holds that meaning is constructed by people and suits qualitative methods; pragmatism chooses whatever methods best answer the question. Many business and social science dissertations are expected to state one; others are not.

Check your handbook: if your department does not expect a philosophy section, a short justification of the design is enough.

How do you choose between qualitative and quantitative methods?

Choose based on your research question. Questions about "how many", "how much" or "what is the relationship between" variables call for quantitative methods such as surveys and statistical analysis. Questions about "how" or "why" people experience something call for qualitative methods such as interviews. Mixed methods combine both when one type of data alone cannot answer the question.

How do you justify your methodology?

Justify each choice by linking it to your research question, comparing it briefly with an alternative and citing methods literature. A simple formula for each decision is: what you did, why it fits the question, why it is better here than the main alternative, and which author supports that reasoning. Justification is what turns a description into a methodology.

Example (illustrative; the citation is a placeholder): "Semi-structured interviews were used because the study explores how managers experience hybrid working, which requires rich, flexible accounts (Author, year). A survey was considered but rejected, as fixed questions would not capture the reasons behind managers' views."

How do you write about sampling?

Describe the population you are interested in, the sampling method, the sample size and how participants were recruited, then justify each choice. Common methods are random sampling for generalisable quantitative results and purposive or snowball sampling for qualitative depth. Explain how you reached your sample size, for example through a power calculation or data saturation.

How do you describe data analysis?

Name the analysis technique, explain the steps you followed and the software used, and justify why the technique fits your data. For qualitative data, thematic analysis is common, often following Braun and Clarke's six phases. For quantitative data, state the statistical tests, the variables and the significance level, such as p < 0.05.

If your analysis involves statistics, our biostatistics help page explains when to use common tests such as t-tests, ANOVA and regression.

What should the ethics section include?

The ethics section explains how you protected participants and data: the ethical approval you obtained from your university, informed consent, the right to withdraw, anonymity and confidentiality, secure data storage in line with UK GDPR and your university's data policy, and how you managed any risk of harm. Include your approval reference if your department asks for it.

How do you write a methodology for a secondary research dissertation?

For a dissertation based on secondary research, the methodology explains how you searched for, selected and analysed existing sources or datasets. Describe the databases and search terms, the inclusion and exclusion criteria, how sources were screened and appraised, and the analysis method, such as thematic synthesis or secondary data analysis of a published dataset.

How do you write about limitations?

Acknowledge the main weaknesses of your approach honestly, such as sample size, self-selection, self-reported data, a single context or time constraints, explain how they might affect your findings and say what you did to reduce them. Markers reward realistic, specific limitations over vague statements like "the sample was small".

Common methodology mistakes

• Describing methods without justifying them.
• Including long textbook definitions of every philosophy.
• A design that does not match the research question.
• No detail on how participants or sources were selected.
• Missing ethics information or approval.
• Writing in the future tense when the research has already been done.

When to get help with your methodology

If you are unsure which design fits your question, how to justify it, or how to analyse your data, a specialist in your field can review your plan and draft and explain the options. FLN Tutors' dissertation help covers methodology, analysis and every other chapter, and live tutoring is available for statistics, SPSS, R and NVivo.

Support is guidance and feedback on your own research in line with your university's rules and our academic integrity policy.

FAQs

What tense should a methodology be written in?

Write the methodology in the past tense once the research is complete ("participants were recruited through…"), because it describes what you did. In a research proposal, written before the research, use the future tense ("participants will be recruited…"). Use the present tense for general statements about methods.

Can I use "I" in my methodology?

Many departments now accept the first person in the methodology, especially in qualitative research, where your role as researcher matters. Others prefer an impersonal style. Follow your department's guidance and be consistent throughout the dissertation.

What is the difference between methods and methodology?

Methods are the specific techniques you used to collect and analyse data, such as interviews, surveys or regression. Methodology is the overall strategy and the reasoning behind those choices, including your philosophy, design and justification. A dissertation methodology chapter covers both.

Do I need a research philosophy in my dissertation?

It depends on your discipline and department. Business, management and many social science dissertations are often expected to state a research philosophy such as positivism or interpretivism. Science and some humanities dissertations rarely include one. Check your handbook or ask your supervisor.

How many interviews are enough for a dissertation?

For an undergraduate qualitative dissertation, 6 to 12 interviews are common, and master's projects often use 10 to 20, but the right number depends on your question and on reaching data saturation, where new interviews add few new insights. Justify your sample size in the methodology rather than just stating it.

Should I include my questionnaire or interview questions?

Yes, usually in an appendix, with a reference to it in the methodology. Including the instrument lets the marker judge whether your questions fit your research aims. Summarise its structure in the chapter itself.

How do I write a methodology without primary data?

Explain that your dissertation uses secondary research, then describe how sources or datasets were found, the inclusion and exclusion criteria, how quality was appraised, and how the material was analysed, such as thematic synthesis or analysis of a published dataset. Justify why secondary research suits your question.

What are validity and reliability in a methodology?

Validity is whether your methods measure what they claim to measure; reliability is whether they would produce consistent results if repeated. In qualitative research, the equivalent ideas are often called credibility, dependability and trustworthiness. Explain the steps you took to strengthen them.