Comparer des méthodes

	Méthodes Mixtes à Intervention Intégrée	Conception de méthodes mixtes séquentielles exploratoires imbriquées
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s–2010s	2000s–2010s
Auteur d'origine	Creswell & Plano Clark (embedded design framework); intervention application developed in health, education, and program evaluation research	Creswell & Plano Clark (embedded and exploratory sequential variants codified)
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 Publications. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Alias	nested intervention mixed methods, embedded experimental mixed methods, mixed methods intervention design with embedded strand, EIMM	embedded-exploratory design, nested exploratory sequential design, qual-first embedded design, QUAN(qual) exploratory sequential
Apparentées	4	6
Résumé	Embedded intervention mixed methods is a research design in which a qualitative strand is nested within a primary quantitative intervention (experimental or quasi-experimental) study. The quantitative component tests whether an intervention works; the embedded qualitative component illuminates how and why it works — or does not work — for participants. The two strands run concurrently or sequentially within a single overarching study framework, with integration occurring during interpretation.	An embedded exploratory sequential mixed methods design opens with a qualitative phase that explores an understudied phenomenon, then embeds a secondary quantitative strand within or alongside that primary qualitative work. The qualitative findings guide what is measured quantitatively, while the embedded quantitative data provide additional scope or precision without displacing the qualitative logic driving the study.