Choosing a research design is not simply about deciding between qualitative and quantitative research. It requires understanding what your research question asks, what evidence you need and which methods can produce credible answers.

The SRS Research Design Decision Tree helps researchers systematically examine these choices.

What you'll learn

• How to connect research questions with appropriate forms of evidence.
• When quantitative, qualitative or mixed-methods approaches may be suitable.
• How to compare alternative research designs.
• How to consider feasibility, sampling, ethics and analytical requirements.
• How to justify methodological decisions rather than simply naming a research design.

What's included

• A visual research design decision tree.
• Quantitative research worked example.
• Qualitative research worked example.
• Mixed-methods research worked example.
• Guidance on comparing alternative designs.
• Reusable research design planning worksheet.
• Final quality checklist and further reading.

How to use this guide

1. Begin with your research question.
2. Follow the decision tree to identify possible methodological approaches.
3. Examine the three worked examples.
4. Compare suitable designs against your research objectives and constraints.
5. Complete the research design worksheet.
6. Write a short justification for your preferred design.

Remember: A decision tree is a tool for reasoning, not a substitute for methodological judgment. Your final design must be justified in relation to your research question, evidence, context and practical constraints.

Suitable for: Undergraduate students, postgraduate students, PhD scholars and independent researchers.