Key Takeaways
- The methodology section describes what you did and how you did it. LLMs can help you describe procedures clearly, structure the section logically, and justify your design choices.
- Accuracy is non-negotiable. Every detail in the methodology must match what you actually did. LLMs can improve clarity, but they cannot verify your procedures.
- The best use of LLMs for methodology writing is precision: turning rough notes into formal academic prose, structuring subsections, and checking for missing procedural details.
- These 10 prompts cover structuring the methodology, justifying design choices, describing instruments, writing sampling procedures, ethical considerations, and pre-submission checks.
- For a comprehensive guide to using LLMs across all stages of research, see our LLM Prompting Guide for Researchers.
The methodology section is the section reviewers scrutinise most closely for rigour. It must describe your research design, sampling, data collection, and analysis in enough detail for replication. It must also justify why you made the choices you did. That combination of description and justification is where most researchers struggle.
LLMs can help with the writing, but they have a specific limitation: they do not know what you actually did. They can help you structure your methodology, articulate your justifications, and improve the clarity of your descriptions. They cannot verify that the description matches reality. That verification is entirely your responsibility.
For broader LLM guidance, see our LLM Prompting Guide for Researchers.
The 10 Prompts
Prompt 1: Structure the Methodology Section
My study uses a [quantitative/qualitative/mixed-methods] approach to investigate [topic]. Suggest a logical structure for the methodology section with appropriate subsection headings. The structure should include: research design, population and sampling, data collection instruments and procedures, data analysis methods, and ethical considerations. For each subsection, describe in one sentence what it should cover.
Prompt 2: Justify Research Design Choice
My study uses a [specific design: e.g., cross-sectional survey / case study / experimental] approach. My research questions are: [list questions]. Write a paragraph that justifies why this design is appropriate for these research questions. Also briefly mention one alternative design I could have used and explain why I chose not to use it. Use academic tone and cite methodological reasoning (not specific papers).
Prompt 3: Describe Sampling Procedure
Write a sampling procedure paragraph using the following details:
– Sampling technique: [e.g., purposive / stratified random / convenience]
– Population: [describe]
– Sample size: [N]
– Inclusion criteria: [list]
– Exclusion criteria: [list]
– Recruitment method: [describe]
Write in past tense, academic tone. Justify the sampling technique briefly.
Prompt 4: Describe a Research Instrument
Write a paragraph describing the following research instrument for the methodology section:
– Name: [e.g., “the Technology Acceptance Model questionnaire”]
– Developed by: [author and year, if applicable]
– Number of items: [N]
– Scale type: [e.g., 5-point Likert]
– Dimensions/subscales: [list]
– Reliability: [Cronbach’s alpha values]
– Any modifications: [describe]
Use past tense and academic tone.
Prompt 5: Write Data Collection Procedures
Convert the following rough notes about my data collection process into a formal methodology paragraph. Include the sequence of steps, the timeline, and any relevant details about how participants were contacted, consented, and the conditions under which data was collected.
My rough notes:
[paste your notes about what you did, e.g., “emailed survey link to department heads, they forwarded to students, survey open for 3 weeks, 2 reminders sent, online via Qualtrics”]
Prompt 6: Describe Data Analysis Approach
Write a data analysis paragraph using the following details:
– Software used: [e.g., SPSS 28, R, NVivo 12]
– For each research question, the statistical test or qualitative method used:
RQ1: [test/method]
RQ2: [test/method]
RQ3: [test/method]
– Significance level: [e.g., p < .05]
- Any preliminary analyses: [e.g., normality tests, reliability analysis]
Write in past tense. Briefly justify why each test is appropriate for its research question.
Prompt 7: Write Ethical Considerations
Write an ethics paragraph for my methodology section. Include the following details:
– Ethics approval: [institution and approval number]
– Informed consent: [how participants were informed and how consent was obtained]
– Anonymity/confidentiality: [how participant data was protected]
– Data storage: [how and where data is stored, retention period]
– Voluntary participation: [how participants were informed of their right to withdraw]
Use past tense and formal academic tone.
Prompt 8: Check for Missing Methodology Details
Review the following methodology section and identify any missing information that a reviewer would expect. Check for: research design justification, population description, sampling technique and justification, sample size justification, instrument description with reliability, data collection procedure with timeline, data analysis methods matched to research questions, and ethical approval. Flag anything missing.
[paste your methodology section]
Prompt 9: Justify Sample Size
My study has a sample size of [N] participants. The design is [describe design]. The analysis uses [statistical test]. Write a 2-3 sentence sample size justification. If applicable, reference power analysis conventions (e.g., Cohen’s guidelines for effect sizes, minimum sample recommendations for the statistical method used). If the sample is small, acknowledge it and explain the practical constraints.
Prompt 10: Improve Clarity and Precision
The following methodology paragraph is unclear or too vague. Rewrite it to be more precise and specific. Replace vague phrases like “a number of participants,” “the data was collected over some time,” or “a suitable method was used” with specific details where I have provided them. Flag any places where I need to add specific information.
[paste your paragraph]
Precision Is the Standard
The methodology section leaves no room for approximation. “About 200 participants” is not acceptable. “A total of 207 participants (129 female, 78 male, mean age 28.4 years, SD = 6.2)” is. LLMs can help you convert rough notes into precise academic prose, but every detail must match what you actually did. One inaccuracy in the methodology can lead a reviewer to question the entire study.
For guidance on choosing between quantitative and qualitative approaches, see our post on qualitative vs quantitative research.
Need your methodology section professionally reviewed? PM Proofreading’s journal editing service checks your methodology for clarity, consistency, and completeness. Upload your manuscript and get a quote.
Further Reading
- LLM Prompting Guide for Researchers: ChatGPT, Claude, and Gemini
- Qualitative vs Quantitative Research
- What Is a Qualitative Research Methodology?
- How to Structure and Organize a Research Paper
Frequently Asked Questions
Can I use AI to write my methodology section?
AI can help you structure and articulate your methodology, but every detail must accurately describe what you actually did. Use LLMs to convert rough notes into formal prose, structure subsections, and check for missing elements. Always verify the output against your actual procedures. The methodology is the most fact-checked section of any paper.
What should I include in a methodology section?
At minimum: research design with justification, population and sampling strategy, data collection instruments (with reliability), data collection procedures and timeline, data analysis methods matched to research questions, and ethical considerations. Use Prompt 8 to check whether anything is missing from your draft.
How do I justify my sample size?
Reference power analysis conventions for quantitative studies (e.g., Cohen’s guidelines for medium effect sizes). For qualitative studies, reference data saturation. If practical constraints limited your sample, acknowledge this and explain. An honest justification is always better than no justification. Use Prompt 9 for help drafting this.
Should I use past or present tense in the methodology?
Past tense throughout. You are describing what you did: “participants were recruited,” “data were collected,” “the survey was administered.” Present tense is only used when referring to the paper itself (“Table 1 presents the demographic breakdown”).
