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동시 내재 혼합 방법 설계 (Equal-Weight Concurrent Embedded Mixed Methods Design)×다수준 혼합 방법 설계×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도2007–2011Late 1990s–2000s
창시자John W. Creswell & Vicki L. Plano ClarkBonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & 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. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829
별칭equal-status embedded design, equal-priority concurrent embedded design, balanced embedded mixed methods, QUAN+QUAL embedded designmultilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods
관련65
요약The equal-weight concurrent embedded mixed methods design collects quantitative and qualitative data simultaneously, with one strand nested inside the other, while assigning both strands equivalent analytic priority. Unlike the standard embedded design where one dominant strand drives the study and the other plays a supporting role, the equal-weight variant treats both strands as co-equal contributors to understanding the research problem, demanding rigorous analysis of both before integration.Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide.
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ScholarGate방법 비교: Equal-weight concurrent embedded mixed methods design · Multilevel Mixed Methods Design. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare