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| 양적 우위 실용 혼합 연구 설계× | 혼합 방법 메타 추론× | |
|---|---|---|
| 분야 | 연구설계 | 연구설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1998–2010 | 1998–2003 |
| 창시자≠ | Tashakkori & Teddlie (mixed methods paradigm discourse); pragmatic strand systematized by Morgan and Creswell | Abbas Tashakkori & Charles Teddlie |
| 유형≠ | Mixed methods research design | Mixed methods integration procedure |
| 원전≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666 | Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129 |
| 별칭≠ | QUAN-dominant pragmatic MMR, pragmatic quantitative-priority mixed design, quan-priority pragmatic design | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference |
| 관련 | 6 | 6 |
| 요약≠ | A mixed methods design in which quantitative data and analysis carry the primary explanatory weight while a smaller qualitative component provides contextual depth. Grounded in philosophical pragmatism, design decisions — including timing, sequencing, and the scope of each strand — are driven by what best answers the research question rather than by adherence to a single paradigmatic tradition. | Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone. |
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