Comparer des méthodes

	Méta-inférence par méthodes mixtes	Schéma de devis méthodologique mixte à triangulation concurrente
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1998–2003	2007 (formally named in Creswell & Plano Clark, 1st ed.)
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	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Apparentées	6	5
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 triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions.