Many researchers pick a method first ("I'll do a survey") and then try to fit the question around it. That is backwards. Your research question already tells you which method to use, if you know how to read it.
Let the question word guide you
| If your question asks... | It usually needs... | Typical tools |
|---|---|---|
| How many, how much, to what extent, is there a relationship | Quantitative | Surveys, experiments, secondary datasets, regression |
| Why, how, what is the experience of | Qualitative | Interviews, focus groups, observation, thematic analysis |
| Both "how much" and "why" | Mixed methods | Survey followed by interviews, or the reverse |
Quantitative research
Use it when you want to measure, compare, or test. It needs a sample large enough for statistical analysis and clear, measurable variables. Strengths: generalisable results and clear numbers. Weakness: it rarely explains why a pattern exists.
Qualitative research
Use it when you want depth, meaning, or process. Samples are smaller, often 15 to 30 interviews, chosen on purpose rather than at random. Strengths: rich explanation and new insight. Weakness: findings are not statistically generalisable, so justify your sample carefully.
Mixed methods
Use it when one method alone cannot answer all your questions. The two most common designs are:
- Explanatory sequential: survey first, then interviews to explain surprising results.
- Exploratory sequential: interviews first, then a survey to test what you found at scale.
Mixed methods is powerful but takes more time. Only choose it if your questions truly need both.
Four checks before you finalise
- Alignment: does every research question have a matching method and analysis?
- Access: can you actually reach the people, sites, or data?
- Skills: can you run the analysis, or learn it in time?
- Ethics: does your design need consent forms or ethical approval?
Common mistakes
- Calling a study "mixed methods" because it has one open-ended survey question.
- Using a small convenience sample and claiming results represent a whole country.
- Not explaining why you chose your method. Examiners look for that justification.
Move from method confusion to a clear plan
The Research Blueprint Lab combines a one-day hands-on session, 32 recorded classes, and a three-month roadmap. You apply each methodology lesson directly to your own project, with feedback from Dr. Atiqur Rahman Sunny.




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