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혼합 연구 행렬×동시 내재 혼합 연구 설계×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도2003–20102003–2007
창시자Tashakkori & Teddlie; Onwuegbuzie & TeddlieJohn W. Creswell & Vicki L. Plano Clark
유형Research design classification and planning toolMixed methods research design
원전Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351-383). Sage. link ↗Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
별칭MMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrixembedded mixed methods, nested mixed methods design, concurrent nested design, CEMM
관련66
요약The mixed methods matrix is a systematic framework for classifying, planning, and comparing mixed methods research designs along key dimensions such as timing (concurrent vs. sequential), priority (quantitative- vs. qualitative-dominant), and point of integration. It provides researchers with a structured map to make design decisions explicit, communicate choices transparently, and locate a study within the broader mixed methods typology.The concurrent embedded mixed methods design collects quantitative and qualitative data at the same time, but assigns unequal priority to the two strands: one (usually quantitative) serves as the primary study, while the other (usually qualitative) is nested inside it to answer a supplementary question. The embedded strand does not stand alone; it provides a different perspective on the same phenomenon within a single unified study.
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ScholarGate방법 비교: Mixed Methods Matrix · Concurrent Embedded Mixed Methods Design. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare