Writing Guide

How to Write a Methodology Section

Explain what you did and why: design, participants, data collection, analysis, ethics and limitations, written so a reader could judge and repeat your study.

Updated October 2026 · 7 min read

To write a methodology section, describe how you conducted your research and justify each choice: your design, participants or sources, data collection, analysis and ethical safeguards. A reader should be able to judge the quality of your study and, ideally, repeat it.

The methodology is often the most technical part of a dissertation or research paper. This guide explains what to include, how the section changes for quantitative and qualitative work, and how to justify your decisions convincingly.

What Every Methodology Section Answers

A methodology section answers five questions: what approach and design did you use, who or what did you study, how did you collect data, how did you analyse it, and how did you protect participants and the quality of the findings?

For each answer, add the reason. Description says what you did; justification shows why it was the right choice for your question.

Methodology Versus Methods

The two words are often used interchangeably, but they mean slightly different things. Many dissertations need both.

TermMeaningExample
MethodologyThe overall approach and the reasoning behind itA qualitative, interpretive approach to understand experiences
MethodsThe specific tools and procedures usedSemi-structured interviews analysed with thematic analysis

In a short research paper, a "Methods" section mainly describes procedures. In a dissertation, the methodology chapter also explains the philosophy and logic behind them.

What to Include

Most methodology sections cover the same core elements, though the order and depth vary by discipline.

  1. Research approach: quantitative, qualitative or mixed, and why.
  2. Research design: for example experiment, survey, case study, ethnography or systematic review.
  3. Participants or sources: who or what you studied, how they were selected and how many.
  4. Data collection: instruments, procedures, timing and setting.
  5. Data analysis: statistical tests, coding approach or analytical framework, and software used.
  6. Quality: validity and reliability, or trustworthiness for qualitative work.
  7. Ethics: approval, consent, confidentiality and data storage.
  8. Limitations: the main weaknesses of the approach and how you reduced them.

Structure for Quantitative and Qualitative Studies

The building blocks are similar, but the emphasis differs. Use the table to plan which sub-headings your section needs.

Sub-sectionQuantitative focusQualitative focus
DesignExperimental, quasi-experimental, correlational or survey designPhenomenology, grounded theory, case study or ethnography
SamplingSample size, sampling method, inclusion criteriaPurposive sampling and why participants were information-rich
InstrumentsQuestionnaires, scales, measures and their validityInterview guides, observation protocols
ProcedureStep-by-step process, controls and timingHow interviews or observations were conducted and recorded
AnalysisStatistical tests and why each fits the dataCoding process and how themes were developed
QualityValidity, reliability, controlling biasCredibility, transferability, dependability, reflexivity

Research Philosophy: How Much to Say

Dissertation guidelines in social sciences and business often ask you to state a research philosophy, sometimes called a paradigm. Keep it short and connect it to your choices.

PhilosophyCore assumptionUsually leads to
PositivismReality can be measured objectivelyQuantitative designs, hypothesis testing
InterpretivismReality is understood through people's meaningsQualitative designs, interviews, observation
PragmatismThe question decides the methodMixed methods

One or two paragraphs is usually enough. A long, textbook account of every paradigm adds words without adding marks.

Justifying Your Choices

Markers rarely penalise a reasonable design. They penalise unexplained ones. Every major decision should link back to your research question or aims.

  • Explain why your design suits the type of question, such as measuring an effect or exploring experiences.
  • Show why the sample is appropriate, not just how big it is.
  • Name the alternatives you considered and why you rejected them.
  • Cite methodological sources that support your approach.

Description only: Semi-structured interviews were used.

Description with justification: Semi-structured interviews were used because the study aimed to understand how small business owners made sense of moving online. A fixed questionnaire would have limited participants to predefined answers, while a semi-structured guide kept the core topics consistent and allowed follow-up questions on unexpected points.

Worked Example: A Short Methods Section

Here is a compact example for a small quantitative project. A dissertation chapter would expand each paragraph.

Design. A cross-sectional online survey was used to examine the relationship between weekly paid working hours and self-reported study time among part-time undergraduates.

Participants. Students enrolled part-time at one university were invited through course mailing lists. Inclusion criteria were current enrolment and paid employment during term.

Measures. The questionnaire recorded weekly paid hours, weekly independent study hours and demographic details. Items were piloted with five students and reworded where unclear.

Analysis. Responses were analysed in SPSS. Descriptive statistics summarised the sample, and Pearson's correlation tested the relationship between working hours and study time.

Ethics. The study received approval from the departmental ethics committee. Participation was voluntary and anonymous, and data were stored on a password-protected university drive.

Notice that each paragraph answers one of the five core questions. In your own work, report the actual numbers, dates and tools you used.

Tense, Voice and Level of Detail

Write about completed research in the past tense: "Participants completed the questionnaire." In a proposal, use the future tense: "Participants will complete the questionnaire."

Many disciplines now accept the first person ("I conducted interviews"), while others prefer the passive voice. Follow your department's convention and stay consistent.

Give enough detail for another researcher to repeat the study, but move long materials, such as full questionnaires or interview guides, to an appendix and refer to them.

Writing About Limitations

Every design has weaknesses. Acknowledging them shows judgement; hiding them suggests you did not notice.

LimitationHow to present it
Small sampleState the size, why it was suitable for the aims, and the effect on generalisability
Self-reported dataNote possible recall or social desirability bias and steps taken to reduce it
Single settingExplain how context may limit transferability
Cross-sectional designMake clear it shows association, not cause

Keep the tone factual. A limitation paired with the step you took to manage it reads as careful research, not as an apology.

Step by Step: Writing the Section

  1. Reread your research questions and list what each requires.
  2. Check your department's required sub-headings.
  3. Draft each sub-section factually while details are fresh.
  4. Add a justification sentence for every major choice.
  5. Cite methodological literature that supports your approach.
  6. Add ethics and limitations.
  7. Move long instruments to appendices and cross-reference them.
  8. Check that your results chapter matches the methods described.

Common Methodology Mistakes

  • Describing procedures without explaining why they were chosen.
  • Writing a textbook account of research philosophy unrelated to your study.
  • Leaving out sampling details or the number of participants.
  • Naming a statistical test without saying why it suits the data.
  • Describing methods that do not match what the results chapter reports.
  • Ignoring ethics or limitations.

A useful final test: could a classmate repeat your study using only this section and the appendices? If not, add the missing detail.

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Frequently Asked Questions

What should a methodology section include?

Your research approach and design, participants or sources, data collection, data analysis, quality measures, ethics and limitations, each with a justification.

How long should a methodology section be?

In a dissertation it is often around 15 to 20 percent of the word count. In a journal-style paper it may be a few paragraphs. Follow your guidelines.

Should the methodology be in past or future tense?

Past tense for completed research, as in a dissertation or report. Future tense for a proposal describing planned research.

Can I use "I" in a methodology section?

Many disciplines accept the first person, especially in qualitative research. Others prefer the passive voice. Check your department's guidance.

What is the difference between methodology and methods?

Methodology is the overall approach and its rationale. Methods are the specific procedures and tools, such as surveys or interviews.

Do I need to cite sources in my methodology?

Yes. Cite methodological texts that support your design, sampling and analysis choices, and the sources of any established instruments.

Where do questionnaires and interview guides go?

Usually in an appendix, referred to in the methodology section so readers can find them.

What if my method changed during the research?

Report what you actually did, explain the change and why it was necessary, and discuss any effect on the findings. Honest reporting is always better than describing the original plan.

Does a literature review need a methodology section?

A systematic or structured review does: it reports databases, search terms, inclusion criteria and how sources were selected and appraised. A short narrative review may only need a brief note on how sources were found.

How do I justify a small sample?

Explain how the sample suits your aims, for example depth of insight in qualitative work, and acknowledge the limits on generalising the findings.