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定量的優位性を伴う混合手法メタ推論×説明的逐次型混合研究法デザイン×
分野研究デザイン研究デザイン
系統Process / pipelineProcess / pipeline
提唱年2003–20072007 (formalized in Creswell & Plano Clark's mixed methods typology)
提唱者Tashakkori & Teddlie (meta-inference concept); Creswell & Plano Clark (dominance weighting framework)John W. Creswell & Vicki L. Plano Clark
種類Mixed methods integration procedureMixed methods research design
原典Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
別名QUAN-dominant meta-inference, quantitatively weighted meta-inference, QUAN-priority integration inference, quantitative-weighted mixed inferenceexplanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
関連66
概要Quantitative-dominant mixed methods meta-inference is an integration procedure in which the researcher draws an overarching conclusion by combining inferences from both quantitative and qualitative strands, while explicitly assigning greater evidential weight to the quantitative results. The qualitative strand serves a supporting, elaborating, or contextualizing role rather than an equal voice in the final interpretation.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手法を比較: Quantitative-dominant mixed methods meta-inference · Explanatory Sequential Mixed Methods Design. 2026-06-17に以下より取得 https://scholargate.app/ja/compare