Comparer des méthodes

	Schéma de méthodes mixtes transformatrices à dominante quantitative	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	2003–2007 (Mertens); systematised 2011 (Creswell & Plano Clark)	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Auteur d'origine	Donna M. Mertens (transformative paradigm); John W. Creswell & Vicki L. Plano Clark (mixed methods typology)	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods research design	Mixed methods research design
Source fondatrice	Mertens, D. M. (2007). Transformative paradigm: Mixed methods and social justice. Journal of Mixed Methods Research, 1(3), 212–225.	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Alias	QUAN-dominant transformative MMR, transformative mixed methods (quantitative priority), transformative QUAN-priority design, advocacy-framed mixed methods (quantitative emphasis)	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Apparentées	6	5
Résumé	Quantitative-dominant transformative mixed methods design embeds a transformative theoretical lens — such as feminist, critical race, or disability theory — as the overarching framework of a study while assigning greater weight and priority to quantitative data collection and analysis. Qualitative data play a secondary, supplementary role, typically contextualising or deepening statistical findings. The design is common in social justice, equity, and advocacy-oriented applied research where large-scale measurement is essential but must be grounded in an explicit commitment to marginalized communities.	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.