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| Multiple Case-Based Constructivist Grounded Theory× | Komparativ casestudie× | |
|---|---|---|
| Fagområde | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 2006 (Charmaz's CGT); multi-case applications prominent from 2010s onward | 1984 (Yin); 1995 (Stake) |
| Ophavsperson≠ | Kathy Charmaz (constructivist grounded theory); multi-case extension developed through methodological elaboration by Charmaz and subsequent scholars | Robert K. Yin; Robert E. Stake |
| Type≠ | Qualitative research design and analytic approach | Qualitative / mixed research design |
| Oprindelig kilde≠ | Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973522 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Aliasser | multi-case CGT, constructivist grounded theory with multiple cases, multiple-site constructivist GT, CGT multiple case design | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Relaterede≠ | 6 | 4 |
| Resumé≠ | Multiple case-based constructivist grounded theory (CGT) combines Kathy Charmaz's constructivist grounded theory framework with a deliberate multi-case design. The researcher collects and analyzes data from two or more purposively selected cases simultaneously, applying iterative coding, constant comparison, and theoretical sampling across cases to build a grounded theory that accounts for both within-case depth and cross-case variation. The resulting theory is understood as jointly constructed by researcher and participants rather than objectively discovered. | 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. |
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