Research Methodology: Definition, Examples & How to Write It

What is Research Methodology?

What good research methodology looks like

A strong methodology is specific enough for readers to understand and evaluate what was done, explains why major choices fit the question, distinguishes design from procedure, and reports decisions transparently rather than hiding inconvenient details.

• Research design and rationale.
• Population, sample, data sources, and selection process.
• Measures, materials, instruments, or coding framework.
• Procedure, analysis plan, ethics, quality checks, and relevant limitations.

A practical structure to follow

Use these elements as a decision checklist, not as a rigid formula. The exact wording should still fit the reader, context, and purpose.

• Research design and rationale.
• Population, sample, data sources, and selection process.
• Measures, materials, instruments, or coding framework.
• Procedure, analysis plan, ethics, quality checks, and relevant limitations.

How to write research methodology step by step

1. 1
   Restate the research question and identify what kind of evidence can answer it.
2. 2
   Choose a design that matches the claim you intend to make.
3. 3
   Describe sampling and eligibility criteria precisely.
4. 4
   Explain instruments, variables, interview guides, observations, or document sources.
5. 5
   Document the procedure in the order participants or data actually move through it.
6. 6
   State the analysis method, software where relevant, missing-data or coding decisions, and ethics protections.

Read the examples for structure and choices rather than copying surface wording. Notice what stays consistent and what changes with audience or purpose.

Replace every bracketed field with situation-specific information. A template is a starting structure, not finished copy.

Methodology skeleton: Design → setting/sample → measures/data sources → procedure → analysis → ethics → limitations.

Design rationale: Because the question asks [type of question], this study uses [design], which can provide [appropriate evidence] but cannot establish [important limit].

Sampling frame: Population [who] | inclusion [criteria] | exclusion [criteria] | recruitment/source [how] | final sample [n].

Common mistakes to avoid

• Naming a method without explaining how it was applied.
• Claiming causality from a design that cannot isolate causal effects.
• Leaving sampling, exclusions, or missing-data decisions vague.
• Writing procedures in enough detail to sound technical but not enough to evaluate reproducibility.

Final revision checklist

• Does the opening make the purpose clear quickly?
• Is every important claim, detail, or example doing a distinct job?
• Could a reader misunderstand any pronoun, transition, time reference, or instruction?
• Is the tone appropriate for the relationship and situation?
• Can you remove repetition without removing necessary context?
• If the writing contains factual claims, names, dates, quotations, or citations, have you verified them independently?

Questions about Research Methodology