Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Salīdzinošā gadījumu izpēte× | Daudzpusīgā gadījumu izpēte× | |
|---|---|---|
| Nozare | Kvalitatīvās metodes | Kvalitatīvās metodes |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1984 (Yin); 1995 (Stake) | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Autors≠ | Robert K. Yin; Robert E. Stake | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Tips≠ | Qualitative / mixed research design | Qualitative research method |
| Pirmavots | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Citi nosaukumi | cross-case study, multi-site case study, multiple case study design, comparative case analysis | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Saistītās≠ | 4 | 6 |
| Kopsavilkums≠ | 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. | 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. |
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