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Guide to designing and conducting mixed methods research
Passed 20 of 23 test cases with the skill, and 20 of 23 without it.
1 fixed20 passed either way2 still failing1 broke
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A test case the skill fixed. Same model, same prompt, with and without the skill.
I am starting a project to study how small business owners adapt to recent urban zoning changes, an area with almost no existing empirical literature or standard measurement tools. I want to start with qualitative exploration to build a survey scale and then test it on a broader population. Can you draft a comprehensive mixed methods research proposal guide for this project? I need a clear design pipeline, instructions for qualitative thematic analysis, sample size guidelines for each phase, and reporting standards to follow.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies the research design as an exploratory sequential design. | Passed | Passed |
| Includes an explicit mixed methods research question alongside strand-specific questions. | Missed | Passed |
| Recommends a joint display table containing quantitative findings, qualitative themes, and meta-inferences. | Passed | Passed |
The instructions your model reads when the skill loads.
Design, execute, and report mixed methods research that integrates quantitative and qualitative approaches for more comprehensive and rigorous findings.
Mixed methods research (MMR) systematically combines quantitative and qualitative data collection, analysis, and interpretation within a single study or program of inquiry. It goes beyond simply using both numbers and words; the core requirement is purposeful integration of the two strands.
| Situation | Why MMR Helps |
|---|---|
| Quantitative results need explanation | Qualitative follow-up explains why and how |
| Need to develop an instrument | Qualitative exploration informs survey items |
| Testing a new intervention | Quantitative outcomes + qualitative experience |
| Complex phenomena | Neither approach alone captures the full picture |
| Conflicting prior findings | Triangulation resolves discrepancies |
| Studying under-researched topics | Exploration (qual) then confirmation (quant) |
Both strands are collected simultaneously, analyzed separately, then merged.
QUAN data collection QUAL data collection
| |
QUAN data analysis QUAL data analysis
| |
+---------- Merge ------------+
|
Interpretation
Use when: You want to compare, validate, or triangulate quantitative and qualitative findings on the same phenomenon.
Example: Survey 500 teachers on burnout (QUAN) while simultaneously interviewing 20 teachers about their experiences (QUAL). Merge findings to see if themes align with statistical patterns.
test cases passed, vs 20 / 23 without
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