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حوزهطراحی پژوهشطراحی پژوهش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش2003–20072007 (formalized in Creswell & Plano Clark's mixed methods typology)
پدیدآورTashakkori & Teddlie (meta-inference concept); Creswell & Plano Clark (dominance weighting framework)John W. Creswell & Vicki L. Plano Clark
نوعMixed methods integration procedureMixed methods research design
منبع بنیادینTashakkori, 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
نام‌های دیگرQUAN-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
مرتبط66
خلاصهQuantitative-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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ScholarGateمقایسهٔ روش‌ها: Quantitative-dominant mixed methods meta-inference · Explanatory Sequential Mixed Methods Design. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare