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양적 우위 실용 혼합 연구 설계×혼합 방법 메타 추론×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도1998–20101998–2003
창시자Tashakkori & Teddlie (mixed methods paradigm discourse); pragmatic strand systematized by Morgan and CreswellAbbas Tashakkori & Charles Teddlie
유형Mixed methods research designMixed methods integration procedure
원전Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129
별칭QUAN-dominant pragmatic MMR, pragmatic quantitative-priority mixed design, quan-priority pragmatic designmeta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
관련66
요약A 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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ScholarGate방법 비교: Quantitative-dominant pragmatic mixed methods · Mixed Methods Meta-Inference. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare