Comparer des méthodes

	Méta-inférence par méthodes mixtes	Schéma de devis mixte imbriqué concurrent
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1998–2003	2003–2007
Auteur d'origine	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods integration procedure	Mixed methods research design
Source fondatrice	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	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Alias	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference	embedded mixed methods, nested mixed methods design, concurrent nested design, CEMM
Apparentées	6	6
Résumé	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.	The concurrent embedded mixed methods design collects quantitative and qualitative data at the same time, but assigns unequal priority to the two strands: one (usually quantitative) serves as the primary study, while the other (usually qualitative) is nested inside it to answer a supplementary question. The embedded strand does not stand alone; it provides a different perspective on the same phenomenon within a single unified study.