Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Schéma de devis mixte concurrent intégré à pondération égale× | Conception de méthodes mixtes multiniveaux× | |
|---|---|---|
| Domaine | Conception de la recherche | Conception de la recherche |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2007–2011 | Late 1990s–2000s |
| Auteur d'origine≠ | John W. Creswell & Vicki L. Plano Clark | Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & 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 Publications. ISBN: 978-1483357829 |
| Alias | equal-status embedded design, equal-priority concurrent embedded design, balanced embedded mixed methods, QUAN+QUAL embedded design | multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | The equal-weight concurrent embedded mixed methods design collects quantitative and qualitative data simultaneously, with one strand nested inside the other, while assigning both strands equivalent analytic priority. Unlike the standard embedded design where one dominant strand drives the study and the other plays a supporting role, the equal-weight variant treats both strands as co-equal contributors to understanding the research problem, demanding rigorous analysis of both before integration. | Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide. |
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