Comparer des méthodes

	Matrice des 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	2003–2010	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Auteur d'origine	Tashakkori & Teddlie; Onwuegbuzie & Teddlie	John W. Creswell & Vicki L. Plano Clark
Type	Research design classification and planning tool	Mixed methods research design
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.	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Alias	MMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrix	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Apparentées	6	5
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.	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.