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领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份2000s (Teddlie & Tashakkori 2009; Greene 2007)2003–2010
提出者Teddlie & Tashakkori (matrix framework); Greene (evaluation-oriented framing)Tashakkori & Teddlie; Onwuegbuzie & Teddlie
类型Mixed methods design variantResearch design classification and planning tool
开创性文献Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351-383). Sage. link ↗
别名evaluation MMM, mixed methods display matrix for evaluation, evaluation-focused methods matrix, program evaluation mixed methods matrixMMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrix
相关56
摘要The evaluation-oriented mixed methods matrix is a structured planning and display tool applied within program evaluation contexts. It maps evaluation questions against data sources, timing, and method types — quantitative and qualitative — in a grid format, making the integration logic explicit and auditable. Rooted in Greene's value-engaged mixed methods tradition and Teddlie and Tashakkori's matrix framework, it serves evaluators who must justify methodological choices to stakeholders while addressing multiple evaluation purposes simultaneously.The mixed methods matrix is a systematic framework for classifying, planning, and comparing mixed methods research designs along key dimensions such as timing (concurrent vs. sequential), priority (quantitative- vs. qualitative-dominant), and point of integration. It provides researchers with a structured map to make design decisions explicit, communicate choices transparently, and locate a study within the broader mixed methods typology.
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ScholarGate方法对比: Evaluation-oriented mixed methods matrix · Mixed Methods Matrix. 于 2026-06-15 检索自 https://scholargate.app/zh/compare