Comparer des méthodes

	Schéma de devis méthodologique mixte transformateur à dominante qualitative	Conception exploratoire séquentielle mixte
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	2003–2010	1990s–2000s (codified by ~2007)
Auteur d'origine	Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (weighting typology)	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods research design	Mixed methods research design
Source fondatrice	Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1593856267	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Alias	QUAL-dominant transformative MMR, qualitative-priority transformative design, QUAL+ transformative mixed methods, transformative mixed methods with qualitative priority	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Apparentées	6	6
Résumé	Qualitative-dominant transformative mixed methods is a mixed methods research design in which qualitative data carry the primary evidential weight while quantitative data serve a supplementary role, and the entire inquiry is governed by a transformative theoretical framework — one committed to social justice, equity, and the amplification of marginalized voices. The design produces rich contextual understanding alongside statistical corroboration to advance emancipatory or advocacy-oriented goals.	The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.