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定性主导的多层混合方法设计×定性优先混合方法设计×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份2000s–2010s1991–2003 (formalized in mixed methods typologies)
提出者Tashakkori & Teddlie; Leech & OnwuegbuzieJanice Morse; John W. Creswell & Vicki L. Plano Clark
类型Mixed methods research designMixed methods research design
开创性文献Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage Publications. ISBN: 978-1412972666Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
别名QUAL-dominant multilevel MMR, qualitative-priority multilevel mixed methods, qual-dominant nested multilevel design, QUAL+quan multilevel designQUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods
相关46
摘要Qualitative-dominant multilevel mixed methods design addresses research questions nested across two or more social levels — such as individuals within classrooms within schools — while assigning primary inferential weight to the qualitative strand. Quantitative data collected at one or more levels serve a supporting role: they contextualize, corroborate, or sharpen qualitative findings rather than generate the principal conclusions. The design is especially productive when understanding processes and meanings at multiple organizational layers is more important than population-level statistical estimates.Qualitative-priority mixed methods design is a mixed methods approach in which qualitative inquiry carries the greater weight — in terms of volume, analytical depth, and interpretive authority — while a supplementary quantitative strand provides supporting evidence. The design acknowledges that the phenomenon under study is best understood through meaning-making, lived experience, or social processes, with numbers used to corroborate or contextualize, not to dominate, the research story.
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ScholarGate方法对比: Qualitative-dominant multilevel mixed methods · Qualitative-priority mixed methods design. 于 2026-06-18 检索自 https://scholargate.app/zh/compare