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等权重干预混合方法×解释性顺序混合方法设计×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份2000s–2010s2007 (formalized in Creswell & Plano Clark's mixed methods typology)
提出者Creswell & Plano Clark (weighting framework); intervention design tradition in mixed methodsJohn W. Creswell & Vicki L. Plano Clark
类型Mixed methods research designMixed methods research design
开创性文献Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
别名equal-priority intervention MMR, balanced intervention mixed methods, QUAL=QUAN intervention design, equal-status intervention mixed designexplanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
相关66
摘要Equal-weight intervention mixed methods is a research design in which both quantitative and qualitative strands are assigned equal priority and are embedded within or alongside an intervention, program, or experiment. The design evaluates not only whether an intervention works (QUAN outcomes) but also how and why it works or fails (QUAL processes), with neither strand treated as secondary. It is particularly suited to program evaluation, clinical trials with process components, and educational or social interventions.The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation.
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ScholarGate方法对比: Equal-weight intervention mixed methods · Explanatory Sequential Mixed Methods Design. 于 2026-06-17 检索自 https://scholargate.app/zh/compare