Mixed Methods Research Design Support
Mixed-methods consulting for convergent, explanatory sequential, exploratory sequential, integration, sampling, and joint interpretation.
Mixed methods research requires more than placing a survey and interviews in the same project. The design should explain why both qualitative and quantitative evidence are needed, which strand comes first or has priority, where the two strands are integrated, and what combined inference the study can make.
Choose an Integration Logic
Convergent designs collect strands in parallel, explanatory sequential designs use qualitative work to explain quantitative findings, and exploratory sequential designs can use qualitative findings to develop measures or hypotheses for a later quantitative phase.
Plan Sampling Across Strands
The qualitative and quantitative samples may be linked, nested, or separate. The relationship between them should be explicit so integration is possible later.
Define the Integration Point
Integration can occur in sampling, data collection, analysis, joint displays, or interpretation. If the strands never interact, the project is multi-method rather than meaningfully mixed.
Build a Meta-Inference
The final interpretation should explain what is learned from considering both strands together, including convergence, complementarity, expansion, or contradiction.
Frequently Asked Questions
Can I call a study mixed methods just because it has a questionnaire and interviews?
Not necessarily. A mixed-methods design needs an explicit rationale and integration between qualitative and quantitative strands.
Which mixed-methods design is best?
The best design depends on whether one strand needs to explain, build on, or run alongside the other and on the timing and resources of the project.
Related specialized topics
Quantitative methodology consulting for study design, variables, hypotheses, sampling, measurement, analysis planning, and defensible inference.
Qualitative methodology consulting for interviews, focus groups, thematic analysis, grounded theory, phenomenology, sampling, reflexivity, and rigor.
Sampling strategy consulting for probability and non-probability sampling, target populations, recruitment, sample frames, and defensible generalization.
Support for questionnaires, interview guides, scale adaptation, pilot testing, reliability, validity, and measurement planning.
Methodology chapter review for thesis and dissertation projects, including design consistency, supervisor comments, sampling, instruments, and analysis alignment.