The core designs
Convergent, explanatory sequential, exploratory sequential, and embedded — what each is and when to use it.
Free tool: Mixed-Methods Design Selector
Mixed methods research: a plain-English guide
Mixed methods research combines quantitative and qualitative strands in a single study — but a mixed-methods study is not a survey plus some interviews reported side by side. What makes it genuinely mixed is integration: a deliberate point where the two strands are brought together to produce an understanding neither could reach alone. This guide covers the parts students most often get wrong — choosing a design and actually integrating.
The core skills
Explanatory sequential
Quantitative first, then a qualitative phase to explain why you got those results.
Free tool: Mixed-Methods Design Selector
Exploratory sequential
Qualitative first to explore or build an instrument, then quantitative to test or generalize it.
Free tool: Mixed-Methods Design Selector
Convergent parallel
Collect both strands at once, analyse separately, then merge to compare — for a fuller picture.
Free tool: Mixed-Methods Design Selector
Integration & joint displays
Where the strands actually meet — merging, connecting, building — and the joint display that proves it.
How it fits together
A mixed-methods study runs: a question that genuinely needs both kinds of data → a core design chosen from timing (concurrent vs sequential) and priority (which strand leads) → the two strands, planned in dialogue rather than in isolation → and a named point of integration where they are merged or connected. The order question splits the two sequential designs: quantitative-then-qualitative is explanatory; qualitative-then-quantitative is exploratory. If you are still choosing a methodology at all, start with qualitative vs quantitative vs mixed.
Use the tools as you work
- Mixed-Methods Design Selector — answer two questions about timing and priority and get the core design that fits.
- Research Question Validator — pressure-test your question (and write the integration sub-question) before you commit.
- Research design — the overview — where mixed methods sits among the design decisions.
Get the free Research Design toolkit
A mixed-methods design-decision worksheet, joint-display planner, and integration checklists from Research Design Simplified. We’ll email you the download link.
Frequently asked questions
What is mixed methods research?
A study that collects and analyses both quantitative and qualitative data and, crucially, integrates them — bringing the two strands together at a defined point to answer a question that neither strand could answer alone.
When should I use mixed methods?
Only when your research problem genuinely needs both data types and the two strands inform each other. Mixed methods is more complex and resource-intensive — choose it for that reason, never as methodological one-upmanship.
What is the most common mixed-methods mistake?
Reporting two strands side by side with no point where they meet — “two mono-method studies stapled together.” Reviewers spot it immediately. The fix is planned integration with a named joint display.