Comparer des méthodes

	Schéma de méthodes mixtes multiphasique à dominante qualitative	Conception multiphasique à méthodes mixtes
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	2003–2010	2007 (first edition of Designing and Conducting Mixed Methods Research)
Auteur d'origine	Creswell & Plano Clark (multiphase base); Morse and Tashakkori & Teddlie (priority notation)	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods research design	Mixed methods research design
Source fondatrice	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute
Alias	QUAL-dominant multiphase MMR, qualitative-priority multiphase design, qual-dominant multiphasic mixed design	multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
Apparentées	6	6
Résumé	The qualitative-dominant multiphase mixed methods design combines multiple, sequentially or iteratively organized phases across a research program, with qualitative inquiry holding explicit priority. Quantitative data are collected in one or more supporting phases to supplement, refine, or validate the dominant qualitative strands. The design is common in longitudinal program evaluations, theory-building projects, and community-based participatory research where deep contextual understanding is the primary aim.	The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem.