手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 混合手法マトリックス× | 混合研究におけるメタ推論× | |
|---|---|---|
| 分野 | 研究デザイン | 研究デザイン |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2003–2010 | 1998–2003 |
| 提唱者≠ | Tashakkori & Teddlie; Onwuegbuzie & Teddlie | Abbas Tashakkori & Charles Teddlie |
| 種類≠ | Research design classification and planning tool | Mixed methods integration procedure |
| 原典≠ | Onwuegbuzie, 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 ↗ | Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129 |
| 別名 | MMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrix | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference |
| 関連 | 6 | 6 |
| 概要≠ | 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. | Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone. |
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