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| Multiple-Case Design-Based Research× | Összehasonlító Esettanulmány – Esetek Közötti Kutatási Terv× | |
|---|---|---|
| Tudományterület≠ | Terepi módszerek | Kvalitatív módszerek |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1992 (DBR); multiple-case variant codified through 2000s–2010s | 1984 (Yin); 1995 (Stake) |
| Megalkotó≠ | 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; Robert E. Stake |
| Típus≠ | Interventionist qualitative/mixed-methods design | Qualitative / mixed research design |
| Alapmű≠ | 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 |
| Alternatív nevek | multi-site DBR, multi-case design experiment, multiple-site design research, MCDBR | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Kapcsolódó≠ | 5 | 4 |
| Összefoglaló≠ | 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. | Comparative case study is a qualitative research design in which two or more bounded cases are studied in depth and then systematically compared to identify similarities, differences, and patterns across contexts. Rooted in Yin's replication logic and Stake's multiple case framework, it is particularly suited to questions that ask how or why a phenomenon unfolds differently — or similarly — across distinct settings, populations, or time periods. |
| ScholarGateAdatkészlet ↗ |
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