How to Write a Research Methods Section Step by Step
Princeton Journal of Pre-Collegiate Research

TL;DR: This post answers exactly how to write a research methods section step by step, for high school students preparing original research for peer-reviewed publication. You will learn what to include, how to structure it, and what reviewers reject most often. Students whose research is complete and ready for evaluation can submit it to the Princeton Journal of Pre-Collegiate Research (PJPCR) at princeton-jpcr.org.
Why the methods section is the hardest section to write well
Most student researchers underestimate the methods section. They treat it as a formality: a brief description of what they did, written after the fact, in a few sentences. That is a mistake. Peer reviewers use the methods section to evaluate whether your findings are trustworthy. According to a 2021 analysis published in PLOS ONE, methodological inadequacy is one of the most frequently cited reasons for rejection in peer-reviewed journals. If reviewers cannot reproduce your study from your description alone, your paper is at risk regardless of how strong your results are.
Learning how to write a research methods section step by step is not a bureaucratic exercise. It is the foundation of scientific credibility. This guide gives you the structure, the specific components, and the exact mistakes to avoid.
How do you write a research methods section step by step?
A research methods section describes your study design, participants or data sources, materials or instruments, procedure, and analysis approach in enough detail that an independent researcher could replicate your study. It is written in past tense, in third person or first person depending on your discipline, and it follows a logical sequence from design to analysis. Most methods sections in student journals run between 300 and 600 words.
Here is how to write a research methods section step by step.
State your research design first. Open with one or two sentences that name your overall approach. Was this a controlled experiment, a survey study, a qualitative interview study, a secondary data analysis, or a computational model? Naming the design immediately tells the reader what kind of evidence your results will represent. For example: "This study used a quasi-experimental pre-post design to assess the effect of spaced repetition on vocabulary retention in bilingual adolescents."
Describe your participants or data sources. If your study involved human participants, state who they were, how many, how they were selected, and any relevant demographic information. If you used a dataset, name it, state where it came from, and describe its scope. Be specific. "Students from a local high school" is not sufficient. "Forty-two students aged 14 to 17 enrolled in a public high school in New Jersey, recruited through voluntary sign-up" gives reviewers what they need.
Describe your materials or instruments. List every tool, survey, apparatus, software programme, or dataset you used. If you used a validated survey instrument, name it and cite it. If you built your own instrument, describe how you developed it and whether you tested it for reliability. Reviewers will flag instruments that appear to have been invented without validation.
Describe your procedure in sequence. Walk through exactly what happened, in the order it happened. Use past tense. Include enough detail that someone else could follow the same steps. If your study had multiple phases, label them clearly. If you conducted interviews, state how long they ran, whether they were recorded, and how you handled transcription.
Explain your analysis approach. State what statistical tests, coding frameworks, or computational methods you used to analyse your data. Name the software if relevant (for example, R version 4.3.1, NVivo 14, or Python 3.11 with the pandas library). If you used a qualitative coding approach, describe whether it was inductive or deductive and how many coders were involved.
Address ethical considerations where relevant. If your study involved human participants, state whether you obtained informed consent and whether your study was reviewed by a supervising institution or ethics board. This is increasingly expected even in student publications.
What separates a publishable methods section from a class project description?
The single biggest difference is replicability. A class project description tells a teacher what you did. A publishable methods section gives a stranger enough information to repeat your study independently and expect to get similar results. That standard requires a different level of precision.
Precision means specificity in three areas. First, your sampling or data selection: explain not just who or what you studied, but how you chose them and what criteria you used to include or exclude cases. Second, your measurement: if you measured a variable, explain how you operationalised it. "Academic performance" is not a measurement. "GPA as reported on the student's most recent semester transcript" is. Third, your analysis: do not say you "looked for patterns." Name the method. Thematic analysis, linear regression, chi-square test, network centrality analysis. Each of these means something specific to a reviewer. Vague language signals that the researcher does not fully understand what they did.
Peer reviewers at journals like the Princeton Journal of Pre-Collegiate Research evaluate student submissions using the same methodological standards applied to early-career academic work. A strong methods section demonstrates that you understand not just what you did, but why those choices were appropriate for your research question. That is what distinguishes original research from a sophisticated school project.
What are the most common mistakes students make when writing a methods section?
The four most common errors are consistent across disciplines and they are all fixable once you know what to look for.
The first mistake is writing the methods section as a narrative rather than a structured account. Students sometimes write in a reflective, first-person storytelling style: "First I decided to survey my classmates, then I realised I needed a control group." That is a lab notebook, not a methods section. The methods section reports decisions made, not the process of making them. Rewrite reflective passages as declarative statements of what was done.
The second mistake is omitting sample size justification. Stating that you surveyed 30 students is not enough. Reviewers want to know whether 30 was a deliberate choice based on power analysis, a practical constraint, or an arbitrary number. If it was a practical constraint, say so plainly. Honesty about limitations is not a weakness; it is a sign of methodological maturity.
The third mistake is conflating procedure with results. The methods section describes what you did. It does not describe what you found. If you catch yourself writing "participants responded positively" in the methods section, move that sentence to the results section. The two sections must be kept strictly separate.
The fourth mistake is citing no sources in the methods section. If you used a validated instrument, a standard protocol, or an established analytical framework, you must cite the original source. A methods section with no citations often signals that the researcher built everything from scratch without consulting existing literature, which is a significant red flag for reviewers.
How to apply this step by step to your own research paper
Use this checklist before you consider your methods section complete.
Write one sentence naming your overall research design. Read it back. Does it tell a stranger what kind of study this is?
Describe your participants or data source in full. Include selection criteria, sample size, and any relevant characteristics.
List every instrument, tool, or dataset. Check that each one is cited if it was developed by someone else.
Write your procedure in past tense, in the order events occurred. Number the steps if the sequence matters.
Name your analysis method explicitly. Confirm that the method you name matches the results you report.
Add a sentence on ethical considerations if human participants were involved.
Read the entire section and ask: could someone with graduate-level training in my discipline replicate this study from this description alone? If the answer is no, identify the gap and fill it.
PJPCR accepts original research across all academic disciplines. If your methods section is complete and your paper is ready for peer review, review the submission guidelines at princeton-jpcr.org.
Frequently asked questions about how to write a research methods section
What is a research methods section?
A research methods section is the part of a research paper that describes how a study was conducted. It covers the research design, participants or data sources, materials or instruments, procedure, and analysis approach. Its purpose is to allow an independent researcher to evaluate and replicate the study. It is written in past tense and placed after the literature review.
How long should a research methods section be?
For most high school and undergraduate research papers, the methods section runs between 300 and 600 words. Quantitative studies with complex designs tend to run longer. Qualitative studies may be shorter if the procedure is straightforward. The right length is whatever is required to make the study fully replicable. Do not pad it, and do not cut it short to save space.
Do I need a PhD supervisor to write a publishable methods section?
No. You do not need a PhD supervisor to write a strong methods section. You need a clear research design, honest documentation of your procedure, and a named analysis method. Many high school students conduct original research independently or with a teacher mentor and produce methods sections that meet peer-review standards. What matters is the quality of the documentation, not the credential of your supervisor.
What makes a methods section credible to peer reviewers?
Credibility comes from three things: specificity, transparency, and citation. Specific descriptions of your sample, instruments, and analysis leave no room for ambiguity. Transparency about limitations (small sample size, convenience sampling, self-reported data) signals methodological honesty. Citations for any instrument or protocol you borrowed from existing research demonstrate that your work is grounded in the literature.
What kinds of research does PJPCR publish, and does the methods section matter for acceptance?
The Princeton Journal of Pre-Collegiate Research publishes original research across STEM, humanities, social sciences, and interdisciplinary fields. The methods section matters significantly for acceptance. Peer reviewers assess whether findings are supported by a sound and transparent methodology. A weak methods section is one of the most common reasons papers are returned for major revision or rejected outright. You can explore published issues at princeton-jpcr.org to see what accepted papers look like in practice.
What to do now
Writing a research methods section step by step is a learnable skill. The structure is fixed: design, participants or data, materials, procedure, analysis, and ethics. The standard is also fixed: replicability. Every sentence in your methods section should serve one purpose, which is to give a reader enough information to repeat your study and trust your results.
The most common failures, narrative writing, missing sample justification, conflating procedure with results, and missing citations, are all correctable before submission. Use the checklist in this post before you consider your methods section finished. Read published research in your discipline and compare your methods section to theirs. The gap between what you have written and what appears in published work is the revision you still need to do.
If your research is complete and your methods section meets the standard described here, submit it for peer review. The PJPCR blog has additional writing guides to help you prepare the rest of your manuscript. When you are ready, submit your paper to the Princeton Journal of Pre-Collegiate Research at princeton-jpcr.org.
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