Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Komparativ etnografi× | Fler-case studie× | |
|---|---|---|
| Fagfelt | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1987–1995 (systematic comparative ethnography formalized) | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Opphavsperson≠ | George E. Marcus (multi-sited formulation); Charles C. Ragin (comparative logic) | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Type≠ | Qualitative comparative research design | Qualitative research method |
| Opprinnelig kilde≠ | Marcus, G. E. (1995). Ethnography in/of the world system: The emergence of multi-sited ethnography. Annual Review of Anthropology, 24, 95–117. DOI ↗ | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Alias | multi-sited ethnography, cross-site ethnography, comparative field research, comparative participant observation | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Relaterte | 6 | 6 |
| Sammendrag≠ | Comparative ethnography is a qualitative research design that conducts in-depth ethnographic fieldwork across two or more sites, groups, communities, or cultural settings in order to generate systematic comparisons. Rather than describing a single community in isolation, it traces similarities, differences, and interconnections across cases, producing theoretically grounded insights that no single site could yield alone. | Multiple-case study design investigates two or more bounded real-world cases using the same research protocol, then compares findings across cases to identify patterns, contrasts, and explanatory insights that a single case could not produce. Developed primarily through Robert Yin's replication logic and Robert Stake's collective case tradition, the approach is particularly powerful when a researcher needs to determine whether a phenomenon occurs under varied conditions or to test an emerging theoretical explanation against rival contexts. |
| ScholarGateDatasett ↗ |
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