ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

양적 우위 중재 혼합 연구 설계×동시 내재 혼합 연구 설계×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도2007–2011 (codified in Creswell & Plano Clark editions)2003–2007
창시자Creswell & Plano Clark (intervention MMD); weighting framework systematized in mixed methods typologiesJohn 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
별칭QUAN-dominant intervention MMD, quantitatively weighted intervention mixed methods, QUAN+qual intervention design, quantitative-priority intervention mixed methodsembedded mixed methods, nested mixed methods design, concurrent nested design, CEMM
관련66
요약Quantitative-dominant intervention mixed methods design embeds a qualitative component within a predominantly quantitative intervention study — typically a randomized controlled trial or quasi-experiment — where the quantitative strand carries the primary weight in determining efficacy, while the qualitative strand explains the processes, mechanisms, or participant experiences that illuminate why and how the intervention works.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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Quantitative-dominant intervention mixed methods · Concurrent Embedded Mixed Methods Design. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare