Comparer des méthodes

	Méta-inférence par méthodes mixtes	Conception transformative par méthodes mixtes
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1998–2003	2003–2009
Auteur d'origine	Abbas Tashakkori & Charles Teddlie	Donna M. Mertens; 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. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Alias	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference	transformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods
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.	Transformative mixed methods design embeds a social-justice or advocacy theoretical framework — such as feminism, critical race theory, disability studies, or indigenous worldviews — as the overarching lens that guides every decision about data collection, integration, and use. Both quantitative and qualitative strands serve the goal of advancing equity, challenging power structures, and producing actionable knowledge for marginalized communities.