Qualitative vs Quantitative Research
Quick answer: Quantitative research measures and tests relationships using numbers and statistics (e.g. surveys, experiments); qualitative research explores meaning, experience and themes using words (e.g. interviews, focus groups). Mixed-methods research combines both. Choose based on whether your research question asks ‘how many/how much’ or ‘why/how’.
The core difference
| Quantitative | Qualitative |
|---|
| Data | Numbers, statistics | Words, themes, meaning |
| Methods | Surveys, experiments | Interviews, focus groups, observation |
| Analysis | Statistical (SPSS, R) | Thematic, content (NVivo) |
| Question type | How many? How much? | Why? How? |
| Sample | Larger, representative | Smaller, purposive |
When to use each
Use quantitative methods to measure, compare or test a hypothesis across a large sample. Use qualitative methods to explore experiences, motivations and meaning in depth. Use mixed methods when your question needs both breadth and depth.
Mixed methods
Mixed-methods research combines the two — for example, a survey (quantitative) followed by interviews (qualitative) to explain the results. It’s powerful but more demanding to design and analyse.
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Frequently Asked Questions
What is the main difference?
Quantitative research works with numbers and statistics to measure and test; qualitative research works with words and themes to explore meaning.
Which is better?
Neither — the right choice depends on your research question. ‘How many’ questions suit quantitative; ‘why/how’ questions suit qualitative.
What is mixed-methods research?
An approach that combines quantitative and qualitative methods in one study to gain both breadth and depth.
Which has a bigger sample?
Quantitative studies usually need larger, representative samples; qualitative studies use smaller, purposive samples.
What software analyses each?
Quantitative data is often analysed in SPSS, R or Excel; qualitative data in NVivo or by manual thematic coding.