Comparer des méthodes

	Méta-inférence par méthodes mixtes à dominante qualitative	Méta-inférence par méthodes mixtes
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	2003–2010	1998–2003
Auteur d'origine	Abbas Tashakkori & Charles Teddlie	Abbas Tashakkori & Charles Teddlie
Type	Mixed methods integration strategy	Mixed methods integration procedure
Source fondatrice	Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666	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
Alias	QUAL-dominant meta-inference, qualitative-priority meta-inference, qual-dominant MMR meta-inference, qualitative-weighted mixed methods integration	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
Apparentées	6	6
Résumé	Qualitative-dominant mixed methods meta-inference is the overarching inference-drawing process in a mixed methods study where qualitative findings carry primary explanatory weight. Meta-inference — the integrated conclusion drawn by combining qualitative and quantitative strands — is anchored to and interpreted through the richer, theoretically foregrounded qualitative findings, with quantitative results serving a supplementary, corroborating, or contextualizing function.	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.