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定量主导的多层混合方法设计×并行三角混合方法设计×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份2003–20102007 (formally named in Creswell & Plano Clark, 1st ed.)
提出者Tashakkori & Teddlie (multilevel MMR); dominant-status typology formalized by Morse (1991) and elaborated by Tashakkori & TeddlieJohn 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
别名QUAN-dominant multilevel MMR, multilevel mixed methods with quantitative priority, QUAN-priority multilevel design, dominant-status multilevel mixed methodsconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
相关65
摘要Quantitative-dominant multilevel mixed methods design is a mixed methods approach in which quantitative inquiry carries the primary evidential weight while qualitative data play an auxiliary, illuminating role, and both strands are applied across two or more hierarchically nested levels of analysis — for example, students within classrooms within schools. The design is suited to research questions that require both statistical modeling of nested structures and contextual understanding of how those structures operate.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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ScholarGate方法对比: Quantitative-dominant multilevel mixed methods · Concurrent Triangulation Mixed Methods Design. 于 2026-06-18 检索自 https://scholargate.app/zh/compare