Comparer des méthodes

	Matrice des méthodes mixtes	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	Tashakkori & Teddlie; Onwuegbuzie & Teddlie	Abbas Tashakkori & Charles Teddlie
Type	Research design classification and planning tool	Mixed methods integration procedure
Source fondatrice	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.	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	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
Apparentées	6	6
Résumé	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.