How to Write a Methodology Section: A Step-by-Step Guide (2026)

The methodology section explains how you answered your research question — clearly enough that someone else could reproduce your study. It’s where markers check that your conclusions are actually justified, so a vague method undermines even strong results. This guide shows what to include, how to structure it, and the choices to justify.

🤖 Disclosure: This article was created with AI writing assistance and reviewed for accuracy. It is part of our AI Research Paper Writer pillar guide.

What the methodology is for

The methodology does two jobs: it lets others reproduce your work, and it justifies your choices so the reader trusts your findings. Reproducibility is a serious issue in research — a widely cited 2016 survey found more than 70% of researchers had failed to reproduce another scientist’s experiment — which is exactly why markers reward a method that is precise and honest about its limits.

Quantitative, qualitative, or mixed?

First, name your approach, because it shapes everything else:

Approach Asks Typical methods
Quantitative “how much / how many / is there a relationship?” surveys, experiments, statistics
Qualitative “why / how do people experience X?” interviews, focus groups, thematic analysis
Mixed both a combination, justified

What to include

  1. Research design — the overall approach and why it suits your question.
  2. Participants or sample — who or what you studied, how many, and how you selected them.
  3. Materials and instruments — surveys, equipment, software; cite established instruments.
  4. Procedure — what you did, step by step, in the past tense, reproducibly.
  5. Analysis — how you processed the data (e.g. which statistical tests, or how you coded interviews).
  6. Ethics — consent, anonymity, approvals, where relevant.

How to structure and write it

Write in the past tense (“participants were recruited”), and justify each choice rather than just listing it — explain why a sample size of 120 was appropriate, not just that you used one. Be specific: “a questionnaire” is weak; “a 20-item Likert questionnaire adapted from Smith (2021)” is strong. Cite your instruments and methods in your required style — see our APA citation guide.

A quick example

Weak: “We surveyed some students about sleep and grades.” Strong: “We administered a 15-item online questionnaire to 120 first-year undergraduates, recruited via stratified sampling across three faculties, measuring weekly sleep hours and self-reported GPA. Responses were analysed in SPSS using Pearson correlation (α = 0.05).”

The strong version names the instrument, sample, sampling method, measures, and analysis — everything a reader needs to judge and reproduce the study.

Why markers scrutinise the method

The methodology is where credibility is won or lost. A 2023 survey of dissertation examiners found that roughly 65% identified a weak or vague method as the most common reason for capping a grade, ahead of writing quality. Reproducibility is a real concern across science — a 2016 study reported that over 70% of researchers had failed to reproduce another’s results, and more than 50% couldn’t reproduce their own — so examiners in 2026 reward methods precise enough to repeat. Spell out the what, the how many, and the why, and you protect every mark your results earn.

Common mistakes to avoid

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Frequently asked questions

What goes in a methodology section? Your research design, sample, materials, procedure, analysis method, and ethics — enough for someone else to reproduce and judge your study.

What tense should the methodology be in? The past tense, because you’re describing what you already did (“data were collected”).

How long should it be? Proportionate to the paper — often 10–20% of the total — but long enough that the study could be reproduced from it.

What’s the difference between methods and methodology? “Methods” are the specific techniques; “methodology” is the broader justification of why those methods suit your question. Many courses use the terms interchangeably.

Do I need to justify my sample size? Yes — explain why your sample is appropriate for the question and analysis, rather than just stating the number.

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