Writing Guide

How to Write a Methods Section

Write a methods section that's clear, complete, and reproducible. Examples for different research fields.

The Reproducibility Test

Ask yourself: Could another researcher replicate my study exactly from this description? If not, add more detail. The methods section is the recipe—every ingredient and step matters.

Standard Structure

Most methods sections include these components, though the order may vary by field:

1Study Design / Overview
Describe the overall approach and rationale for your methodology

Key questions to answer:

  • What type of study is this? (experimental, observational, computational, etc.)
  • Why did you choose this approach?
  • What are the key variables?
"We conducted a randomized controlled trial comparing three treatment conditions across 12 weeks. This design was chosen to isolate the effect of the intervention while controlling for placebo effects."
2Participants / Materials / Data
Describe what or who you studied and how you selected them

Key questions to answer:

  • How many participants/samples/data points?
  • What were the inclusion/exclusion criteria?
  • How were they recruited/collected/sourced?
  • What are the relevant characteristics?
"Participants (N=150) were recruited from three university campuses. Inclusion criteria required age 18-65 and no prior diagnosis of the condition under study. The sample was 52% female with a mean age of 34.2 years (SD=11.4)."
3Procedures / Protocol
Describe step-by-step what you did

Key questions to answer:

  • What was the sequence of events?
  • What instruments or tools did you use?
  • What were the specific conditions?
  • Could someone replicate this exactly?
"Participants completed three sessions over consecutive days. Each session began with a 5-minute calibration phase, followed by 20 minutes of the experimental task. Rest periods of 2 minutes were provided between blocks."
4Measures / Variables
Define how you measured or operationalized your variables

Key questions to answer:

  • What were your dependent and independent variables?
  • How were they measured?
  • What instruments/scales did you use?
  • What is the reliability/validity of these measures?
"Anxiety was measured using the State-Trait Anxiety Inventory (STAI; Spielberger, 1983), a 40-item self-report scale with established reliability (α = .92 in this sample)."
5Data Analysis
Describe how you analyzed the data

Key questions to answer:

  • What statistical tests did you use?
  • What software did you use?
  • How did you handle missing data?
  • What was your significance threshold?
"Data were analyzed using R (version 4.1.0). We used mixed-effects regression to account for repeated measures, with participant as a random effect. The significance threshold was set at α = .05, with Bonferroni correction for multiple comparisons."

Field-Specific Tips

Experimental Sciences
  • List all equipment with model numbers and manufacturers
  • Include exact concentrations, temperatures, and durations
  • Describe controls and how you ensured validity
  • Report any deviations from standard protocols
Social Sciences
  • Describe your sampling strategy and justification
  • Report reliability statistics for scales
  • Explain how you addressed potential confounds
  • Include IRB/ethics approval information
Computational Research
  • Specify hardware and software versions
  • Include hyperparameters and training details
  • Describe your datasets with statistics
  • Link to code repositories when possible
Qualitative Research
  • Describe your theoretical framework
  • Explain your coding process and categories
  • Address researcher positionality
  • Describe saturation and sample size rationale

Common Mistakes to Avoid

Including results in methods

Methods should only describe what you did, not what you found. Save findings for the results section.

Being too vague

Include enough detail for replication. 'Cells were incubated' → 'Cells were incubated at 37°C for 24 hours in 5% CO₂'

Justifying every choice

Only explain non-standard or controversial methodological choices. Standard methods don't need justification.

Forgetting ethical considerations

Include IRB approval, informed consent procedures, and data protection measures where relevant.

Using first person inconsistently

Pick a voice (active 'we conducted' or passive 'was conducted') and use it consistently.

Omitting analysis details

Specify software, versions, statistical tests, and how you handled missing data or outliers.

Verb Tense Guide

Use Past Tense

For describing what you did: "Participants completed a survey..." "Data were analyzed using..."

Use Present Tense

For general truths or methods that still work: "This method allows for..." "The scale measures..."

Pre-Submission Checklist

  • Is the study design clearly stated?
  • Are participants/samples fully described?
  • Are all procedures detailed enough for replication?
  • Are all measures defined with reliability data?
  • Are statistical methods and software specified?
  • Is ethical approval mentioned (if applicable)?
  • Are controls and validity measures described?
  • Is the verb tense consistent throughout?
  • Does it follow your target journal's format?

Write Methods Faster with AI

TypeTeX can help you structure your methods section and ensure you haven't missed key details. Our AI understands academic writing conventions.

How to Write a Methods Section (Research Paper Guide) | TypeTeX | TypeTeX