How to Write the Methods Section of a Research Paper: Tips, Examples, Guidelines

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Contents

• Glossary of Key Terms
• Key Takeaways
• What Should the Methods Section Actually Contain?
• How Do You Describe Methods in Quantitative Research?
• How Do You Describe Methods in Qualitative Research?
• How Should a Mixed Methods Section Be Structured?
• What Figures and Tables Go in the Methods Section?
• Methods Section Structure for Common Experimental and Quasi Experimental Designs
• What Are the APA Requirements for the Methods Section?
• Which Reporting Guideline Should You Use?
• How Is the Methods Section of a Systematic Review or Meta Analysis Different?
• What Makes a Methods Section Replicable?
• Tips to Create a Polished Methods Section
• Frequently Asked Questions

Glossary of Key Terms

• Methods section: The part of a research paper that explains how the study was designed, conducted, and analyzed, so that another researcher could repeat it.
• Replicability: The ability of an independent researcher to repeat a study using the original methods and obtain consistent results.
• Reporting guideline: A structured checklist, such as CONSORT or PRISMA, that tells authors which methodological details must be reported for a given study type.
• Quasi-experimental design: A study that tests cause and effect without full random assignment of participants to groups.
• Operationalization: The process of turning an abstract concept, such as anxiety or productivity, into something measurable.
• Sampling frame: The actual list or source from which a study sample is drawn.
• Triangulation: The use of multiple data sources, methods, or investigators to cross check findings, common in qualitative research.
• Inter-rater reliability: A measure of how consistently two or more coders or raters classify the same data.

Key Takeaways

• The Methods section exists to make a study transparent and repeatable, not simply to describe what happened.
• Quantitative methods sections emphasize measurement, sampling, and statistical analysis; qualitative sections emphasize context, sampling logic, and trustworthiness.
• Mixed methods sections must explain how the quantitative and qualitative strands connect, not just present them side by side.
• Reporting guidelines such as CONSORT, STROBE, COREQ, and PRISMA exist for specific study types and reviewers increasingly expect them.
• Systematic reviews and meta-analyses need a Methods section that documents the search, selection, and synthesis process in enough detail to be rerun.
• Replicability depends on precise, quantified, and specific reporting rather than vague summary language.

What Should the Methods Section Actually Contain?

The Methods section should answer who or what was studied, what was done, how data were collected, and how data were analyzed, in enough detail for replication.

It typically sits after the Introduction and before the Results, and it is written in the past tense since it describes what was actually done.

• Research design or approach
• Participants, subjects, materials, or data sources
• Sampling strategy and sample size justification
• Instruments, measures, or apparatus
• Procedure, including timing and setting
• Data analysis plan, including software and statistical or analytic techniques
• Ethical approval and consent procedures

How Do You Describe Methods in Quantitative Research?

Quantitative methods sections describe variables, instruments, sampling, and statistical analysis with enough numeric precision that the study could be rerun.

Core subsections to include

• Design: experimental, quasi experimental, correlational, or survey-based, stated explicitly.
• Participants: number, eligibility criteria, recruitment method, and demographic characteristics.
• Sample size justification: power analysis, effect size assumption, and alpha level used.
• Measures or instruments: name, validated psychometric properties, reliability coefficients, and scoring method.
• Procedure: step by step account of data collection, including randomization and blinding if used.
• Data analysis: statistical tests, software and version, handling of missing data, and significance threshold.

Example 1: medicine

In a randomized controlled trial of a blood pressure medication, the Methods section would state the eligibility criteria, the randomization procedure, the dosing schedule, the primary outcome measure such as systolic blood pressure at twelve weeks, and the statistical test used to compare groups, typically an independent samples t test or mixed model.

Example 2: plant biology

In a plant biology experiment testing fertilizer effects on growth, the Methods section would specify the plant species and cultivar, growing conditions including temperature and light cycle, the fertilizer concentrations tested, the number of replicates per condition, and the analysis of variance model used to compare growth rates.

Example 3: materials science

In a materials science study on tensile strength, the Methods section would describe the material composition, sample preparation, the testing apparatus and calibration, the loading rate, the number of specimens tested per condition, and the statistical comparison of mean strength values across conditions.

How Do You Describe Methods in Qualitative Research?

Qualitative methods sections describe the researcher’s role, the sampling logic, data collection context, and the analytic approach used to interpret the data.

Core subsections to include

• Methodological approach: phenomenology, grounded theory, ethnography, narrative inquiry, or case study, named explicitly.
• Researcher positionality: relevant background, assumptions, or relationship to participants that could shape interpretation.
• Sampling: purposive, theoretical, or snowball sampling, with the rationale for sample size and the point at which saturation was judged.
• Data collection: interview, focus group, or observation protocol, setting, and duration.
• Data analysis: coding approach, software used, and how themes were developed.
• Trustworthiness: strategies such as member checking, peer debriefing, or triangulation used to support credibility.

Example from medicine

In a study of patient experiences with chronic pain management, the Methods section would describe the semi-structured interview guide, how participants were recruited from a pain clinic, the thematic analysis approach, and the steps taken to ensure credibility, such as independent coding by two researchers.

Example from life sciences

In a qualitative study of conservation worker decision making, the Methods section would describe fieldwork duration, the observational protocol, the interview sample, and the coding framework used to identify recurring patterns in decision rationale.

How Should a Mixed Methods Section Be Structured?

A mixed methods section must state the design type, such as convergent or explanatory sequential, and explain exactly how the quantitative and qualitative strands were integrated.

• Name the mixed methods design explicitly: convergent parallel, explanatory sequential, exploratory sequential, or embedded design.
• Describe each strand separately, using the quantitative and qualitative subsection guidance above for each.
• State the priority given to each strand, whether equal or one strand dominant.
• Explain the point of integration: during data collection, analysis, or interpretation.
• Describe the integration technique, such as joint displays, data transformation, or merging narrative and numeric findings.

Example: a study evaluating a school nutrition program might collect survey data on student weight and food intake alongside focus group data on barriers to healthy eating, then merge the two data sets in a joint display to see where quantitative and qualitative findings agree or diverge.

What Figures and Tables Go in the Methods Section?

The Methods section should include only figures and tables that document procedure or design, not results; anything showing outcomes or findings belongs in the Results section instead.

Tables commonly included:

• Participant or sample characteristics at baseline: demographics, eligibility criteria met, or group equivalence checks (this is descriptive of the sample, not an outcome, so it belongs in Methods in some journals, though many place it at the start of Results instead; check the target journal’s convention).
• Variable or measure summary: a table listing each variable, its operational definition, the instrument used, and its psychometric properties (reliability, validity).
• Study timeline or schedule of assessments: especially common in trials, showing when each measure or intervention component occurred relative to enrollment.
• Search strategy summary: for systematic reviews, a table of databases searched, date ranges, and number of records retrieved per source.
• Coding framework or codebook: for qualitative studies, a table of themes, definitions, and example quotes used during analysis.

Figures commonly included:

• Study design diagram or flowchart: visually depicting the sequence of study phases, group allocation, or timepoints, especially useful for complex or multi arm designs.
• Participant flow diagram: required by CONSORT for trials and PRISMA for systematic reviews, showing numbers screened, excluded, enrolled, and analyzed at each stage.
• Apparatus or setup diagram: common in physical sciences and engineering, showing experimental equipment configuration, sensor placement, or circuit layout.
• Sampling site or study area map: common in life sciences, environmental research, and epidemiology, showing where data collection occurred.
• Conceptual or analytic model diagram: showing hypothesized relationships between variables or the analytic pipeline, particularly in mixed methods or structural equation modeling studies.

A few placement notes:

• Figures and tables in Methods should be referenced in text before they appear, with a clear pointer such as “see Table 1.”
• Each table and figure needs a self-contained caption: a reader should understand what it shows without re reading the full Methods text.
• Avoid duplicating in prose what a table already shows; the text should add interpretation or context, not repeat row by row detail.
• In APA style, tables and figures are typically placed after the references list in manuscript format, with in text callouts marking where they would appear in final layout; check journal specific instructions, since published format often differs from manuscript submission format.

Methods Section Structure for Common Experimental and Quasi Experimental Designs

The table below outlines what the Methods section should emphasize for several widely used designs.

Design	Defining feature	Key Methods subsections	Common pitfall
Randomized controlled trial	Random assignment to intervention or control	Randomization method, blinding, allocation concealment, primary and secondary outcomes	Omitting how randomization sequence was generated and concealed
Cohort study	Groups followed forward in time based on exposure status	Cohort definition, exposure assessment, follow up duration, loss to follow up handling	Failing to report how exposure was measured and verified
Case control study	Cases and controls compared retrospectively for prior exposure	Case definition, control selection, matching criteria, exposure ascertainment	Unclear control selection that introduces selection bias
Quasi experimental design	Comparison groups without full randomization	Group assignment rationale, baseline equivalence checks, confounder control strategy	Not addressing baseline differences between groups
Cross-sectional study	Data collected at a single point in time	Sampling frame, response rate, variable measurement timing	Implying causation despite a single time point design

What Are the APA Requirements for the Methods Section?

APA style requires the Methods section to use clear subheadings, past tense, and enough detail for replication, organized into standard subsections.

Standard APA subsections

• Participants or Subjects: sample size, demographic characteristics, recruitment source, and eligibility criteria.
• Sampling Procedures: how participants were identified and selected, and any compensation provided.
• Sample Size, Power, and Precision: justification for the sample size, including any power analysis.
• Measures and Materials: instruments used, with reliability and validity evidence cited.
• Research Design: overall design type, named explicitly.
• Procedure: step by step account of what participants experienced.
• Data Analysis: statistical approach, software, and version number.

Formatting requirements

• Use third level headings, bold and flush left, for each subsection within Method.
• Write in past tense since the procedures already occurred.
• Report statistics with appropriate precision, generally two decimal places, following APA numeral and statistics formatting.
• Cite the original source for any standardized instrument or scale used.
• State that the study received institutional review board approval and that informed consent was obtained, when applicable.
• Use the term participants for human subjects and subjects only for animal research.

Which Reporting Guideline Should You Use?

Guideline	Designed for	Number of items	Focus area	Common mistakes
CONSORT	Randomized controlled trials	25 item checklist plus flow diagram	Randomization, blinding, participant flow, and outcome reporting	Not reporting the randomization sequence generation method; omitting the participant flow diagram; failing to report all pre specified outcomes, including negative ones
STROBE	Cohort, case control, and cross sectional studies	22 item checklist	Study design, setting, participants, bias, and confounding	Not distinguishing exposed from unexposed groups clearly; vague handling of confounders; missing discussion of potential sources of bias
COREQ	Qualitative interviews and focus groups	32 item checklist	Research team, methodology, analysis, and reporting transparency	Omitting researcher characteristics and relationship to participants; not reporting saturation rationale; unclear description of the coding tree
PRISMA	Systematic reviews and meta analyses	27 item checklist plus flow diagram	Search strategy, study selection, data extraction, and synthesis	Incomplete or non reproducible search strings; not reporting reasons for excluding full text articles; missing the PRISMA flow diagram
SPIRIT	Clinical trial protocols, prior to conducting the trial	33 item checklist	Protocol content needed for ethical and scientific review	Underspecifying the statistical analysis plan in advance; vague stopping rules; incomplete description of harms monitoring
TRIPOD	Studies developing or validating a prediction model	22 item checklist	Model development, validation, performance, and predictors used	Not separating development from validation data; failing to report model calibration alongside discrimination; missing handling of missing predictor data
STARD	Diagnostic accuracy studies	30 item checklist plus flow diagram	Patient sampling, reference standard, and test accuracy reporting	Unclear reference standard definition; not reporting indeterminate test results; verification bias from non consecutive patient sampling
CARE	Case reports	13 item checklist	Patient information, timeline, diagnostic and therapeutic detail	Missing patient consent statement; no clear timeline of events; insufficient detail on follow up outcome
SQUIRE	Quality improvement studies in healthcare	18 item checklist	Context, intervention, study of the intervention, and ethical issues	Not describing the local context that shaped the intervention; missing description of how the intervention evolved over time; weak link between data and the change implemented
ARRIVE	Animal research studies	21 item checklist	Study design, animal characteristics, and experimental procedures	Not reporting animal strain, sex, and housing conditions; missing sample size justification; no statement on randomization or blinding of outcome assessors
ENTREQ	Qualitative evidence synthesis	21 item checklist	Search strategy, appraisal, and synthesis of qualitative studies	Not justifying the synthesis method chosen; inconsistent quality appraisal across included studies; thin description of how themes were derived across studies
MOOSE	Meta analyses of observational studies	35 item checklist	Search strategy, methods, and statistical reporting for observational data synthesis	Not assessing or reporting heterogeneity; failing to address publication bias; inconsistent exposure or outcome definitions across pooled studies

A few notes on usage:

• SPIRIT and CONSORT are paired: SPIRIT covers the trial protocol stage, CONSORT covers the completed trial report, and many trial teams use both at different points in the same project.
• TRIPOD and STARD often overlap: prediction model studies that also report diagnostic accuracy sometimes need to satisfy both checklists.
• ARRIVE is the animal research counterpart to CONSORT, filling the gap since CONSORT applies only to human trials.
• Most of these guidelines, along with their checklists and flow diagram templates, are hosted on the EQUATOR Network, which is the standard starting point for finding the correct guideline for a given study type.

How Is the Methods Section of a Systematic Review or Meta Analysis Different?

A systematic review Methods section must document the search strategy, eligibility criteria, screening process, and synthesis method in enough detail to be reproduced.

Core elements

• Protocol registration: state whether the review was registered, for example with PROSPERO, and provide the registration number.
• Eligibility criteria: population, intervention or exposure, comparator, outcomes, and study design, often called PICOS.
• Information sources: databases searched, date range, and date last searched.
• Search strategy: full search string for at least one database, often placed in an appendix.
• Study selection: number of reviewers, screening process, and how disagreements were resolved.
• Data extraction: what data were extracted and by how many independent reviewers.
• Risk of bias assessment: tool used, such as the Cochrane risk of bias tool, and who applied it.
• Synthesis method: narrative synthesis or meta analytic model, including statistical software and heterogeneity assessment.

A literature review that is not systematic should still state how sources were identified and selected, even if the process was less formal, to maintain transparency about scope and possible gaps.

What Makes a Methods Section Replicable?

Replicability comes from specific, quantified, and complete reporting of every decision that could affect the result if changed.

• Report exact quantities, not approximations: concentrations, durations, sample sizes, and software versions.
• Name every instrument, reagent, or material with enough detail, including manufacturer, to allow sourcing.
• Describe the analysis plan before results are known, and state if any deviations from a pre registered plan occurred.
• Share or reference raw data, code, and materials where possible.
• Avoid vague verbs like processed or analyzed without specifying how.
• Have a colleague outside the study attempt to follow the Methods section as a check for missing detail.

Examples of Poor Versus Good Reporting

Element	Poor reporting	Good reporting
Sample size	120 participants were recruited.	120 participants were recruited, based on a power analysis assuming an effect size of 0.5 and alpha of 0.05.
Statistical software	Data were analyzed using R.	Data were analyzed using R, version 4.3.1, with the lme4 package for mixed models.
Intervention dose	Participants received 10 milligrams of the drug twice daily for 14 days.	Participants received 10 milligrams of the drug orally, twice daily, for 14 days.
Qualitative coding	Interviews were coded for themes.	Two researchers independently coded transcripts using NVivo 14, reaching 88 percent initial agreement, with disagreements resolved by discussion.

Tips to Create a Polished Methods Section

Reviewers often scrutinize the Methods section more closely than any other part of the paper, since it is where they judge whether the study design can actually support the conclusions drawn from it; a polished Methods section signals methodological rigor before the reviewer even reaches the results.

• Write for a stranger, not a colleague: assume the reader has no prior knowledge of your lab’s routines or your team’s shorthand. A reviewer auditing methodological soundness needs every decision spelled out, not implied.
• Front load the design decision: state the study design explicitly in the first sentence or two, for example “This was a double-blind, randomized controlled trial,” so the reviewer immediately knows what reporting standard to expect from the rest of the section.
• Justify, don’t just describe: wherever a meaningful choice was made, such as sample size, comparison group, or analytic model, briefly state why, not only what. Reviewers flag unexplained choices as potential sources of bias.
• Match the relevant reporting guideline: running the draft against CONSORT, STROBE, COREQ, or PRISMA, depending on design, catches the gaps reviewers are specifically trained to look for.
• Quantify everything quantifiable: doses, durations, temperatures, sample sizes, and software versions should be exact figures, not approximations; vague language is one of the fastest ways to draw reviewer skepticism.
• Read it as an outsider would: after drafting, try to mentally rerun the study using only what is written; any step that requires guessing is a gap a reviewer will likely catch too.
• Get a fresh set of eyes on it: a colleague unfamiliar with the project, or a professional scientific editing service like Editage, can catch missing detail, awkward tense shifts, and unclear phrasing that the original authors are too close to the work to notice.
• Proofread for tense and voice consistency: reviewers do notice when procedures already completed are described inconsistently, since it raises doubts about how carefully the rest of the manuscript was prepared.

Frequently Asked Questions

Should the Methods section be written before or after the study is conducted?

Many researchers draft it as a protocol before data collection begins, then revise it afterward to reflect what actually happened, including any deviations from the original plan.

How long should the Methods section be?

Length depends on journal and complexity, but it should be as long as needed to allow replication; journals with strict word limits often move detailed protocols to supplementary materials.

Is it acceptable to cite a previous paper instead of repeating the full procedure?

Yes, many journals allow authors to cite a prior publication for a detailed protocol, but key parameters relevant to the current study should still be summarized in text.

What if the study deviated from its pre-registered protocol?

Any deviation should be disclosed explicitly in the Methods section, along with the reason, since undisclosed deviations undermine trust and replicability.

Do single case studies need a Methods section structured like a trial?

Single case studies still need a Methods section describing the case selection rationale, data sources, and analytic approach, though formal designs like CONSORT do not apply directly.

How do you handle methods sections for studies using secondary or publicly available data sets?

State the data set name, version, access date, original collection methodology, and any inclusion or exclusion criteria applied for the current analysis.

Can the Methods section include limitations of the design?

Brief acknowledgment of design constraints, such as a small convenience sample, is sometimes included, but a fuller discussion of limitations usually belongs in the Discussion section.

What is the difference between a Methods section and a Materials and Methods section?

Materials and Methods is a common heading variant in life sciences and chemistry that explicitly separates reagents, equipment, or specimens from the procedural steps, while Methods alone is more typical in social science and clinical writing.

What tense should you use while writing the Methods section?

Use past tense for the Methods section, since it describes procedures that have already been completed by the time the paper is written.

A few specifics worth knowing:

• Procedures already carried out: “Participants completed a survey,” “Samples were analyzed using gas chromatography,” “Two researchers independently coded the transcripts.” All past tense, since these actions happened before writing.
• General facts or standing properties of instruments: present tense is acceptable here, since these are still true at the time of writing, not historical events. Example: “The scale consists of 12 items,” or “The instrument measures health anxiety.”
• Future or ongoing research, such as protocols: protocol papers (for example, registered under SPIRIT) describe a study that has not yet been conducted, so future tense is appropriate: “Participants will be randomized,” “Data will be analyzed using mixed models.” Once the trial is complete and reported, this is converted to past tense in the final report.
• Common error to avoid: mixing tenses within the same description, such as “Participants complete the survey and then were debriefed,” which reads as inconsistent; pick past tense and apply it consistently throughout.

Should I use active or passive voice in the Methods section?

Modern style guides, including APA, generally recommend active voice in the Methods section, though passive voice is still widely accepted and sometimes preferred, especially in life sciences and physical sciences.

A few specifics worth knowing:

• APA’s current preference: APA 7th edition explicitly recommends active voice for clarity, for example “We administered the questionnaire” rather than “The questionnaire was administered,” since active voice makes it clearer who performed each action.
• Field specific norms still matter: many life sciences, chemistry, and physical sciences journals retain a strong tradition of passive voice, since the convention emphasizes the procedure or material itself rather than the researcher, for example “Samples were centrifuged at 3000 rpm for 10 minutes.” Check the target journal’s author guidelines or recent published articles before assuming either convention applies.
• Passive voice is still useful in specific cases: when the actor is unknown, irrelevant, or implied, such as “Blood pressure was measured using a digital sphygmomanometer,” passive voice can be clearer and less awkward than forcing an active construction.
• Avoid overcorrecting into awkward active phrasing: forcing active voice everywhere can produce clunky sentences like “The centrifuge spun the samples,” which misattributes agency to equipment; it is fine to keep some passive constructions for naturalness.
• Consistency matters more than a strict rule: mixing active and passive voice within the same paragraph without reason can read as inconsistent; aim for active voice as the default, but allow passive voice where it improves flow or where field convention favors it.
• Common error to avoid: alternating between “I,” “we,” and passive voice for the same action across different parts of the Methods section, which creates confusion about who actually performed each step.