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내장형 설명적 순차 혼합 방법 설계×동시 삼각 혼합 방법 설계×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도2007–20112007 (formally named in Creswell & Plano Clark, 1st ed.)
창시자John W. Creswell & Vicki L. Plano ClarkJohn W. Creswell & Vicki L. Plano Clark
유형Mixed methods research designMixed methods research design
원전Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
별칭embedded QUAN→QUAL design, nested explanatory sequential design, embedded mixed methods with explanatory sequence, QUAN(qual) explanatory embedded designconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
관련55
요약The embedded explanatory sequential mixed methods design combines two structural logics: the explanatory sequential framework (a dominant quantitative phase followed by a qualitative follow-up) and the embedded design principle (one method nested within the other to serve a supporting role). Quantitative data are collected and analyzed first to identify patterns or outcomes; qualitative data are then gathered — embedded within or alongside the QUAN phase — to explain, interpret, or contextualize those findings. The result is a study in which numerical results drive the inquiry and qualitative voices provide the explanatory depth.The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions.
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ScholarGate방법 비교: Embedded Explanatory Sequential Mixed Methods · Concurrent Triangulation Mixed Methods Design. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare