Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Recherche-conception multi-cas× | Case Study× | |
|---|---|---|
| Domaine≠ | Méthodes de terrain | Qualitatif |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1992 (DBR); multiple-case variant codified through 2000s–2010s | 1984 (seminal codification) |
| Auteur d'origine≠ | Ann Brown and Allan Collins (DBR origins); multiple-case extension developed by the DBR Collective and scholars such as Jan Herrington and Thomas Reeves | Robert K. Yin (systematised in Case Study Research, 1984) |
| Type≠ | Interventionist qualitative/mixed-methods design | Qualitative research design |
| Source fondatrice≠ | Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of the Learning Sciences, 2(2), 141–178. DOI ↗ | Yin, R.K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Alias≠ | multi-site DBR, multi-case design experiment, multiple-site design research, MCDBR | Vaka Çalışması (Case Study), case study design, case study methodology |
| Apparentées | 5 | 5 |
| Résumé≠ | Multiple-case design-based research (MCDBR) is an interventionist methodology drawn from the learning sciences and education research. It extends single-site design-based research by implementing and iteratively refining an educational intervention across two or more distinct sites, contexts, or participant groups simultaneously or sequentially. The cross-case structure strengthens theoretical transferability and exposes context-dependent variations that a single site could never reveal. | Case study research is a qualitative research design that investigates a specific phenomenon, individual, group, organisation, or event in depth within its real-world context. Systematised by Robert K. Yin in 1984, it supports single-case and multiple-case designs and draws on multiple data sources — interviews, observation, documents, and artefacts — to build a rich, contextualised account of a bounded unit. |
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