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| Multiple Case-Based Single Case Study× | Monitapainen tapaustutkimus× | |
|---|---|---|
| Tieteenala | Laadulliset menetelmät | Laadulliset menetelmät |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1984 (Yin first edition); 1995 (Stake) | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Kehittäjä≠ | Robert K. Yin (embedded case design); Robert E. Stake (case study methodology) | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Tyyppi≠ | Qualitative case study design | Qualitative research method |
| Alkuperäislähde | 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 |
| Rinnakkaisnimet | embedded single-case study, single-case embedded design, holistic embedded case study, single case with multiple units of analysis | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | A multiple case-based single case study — also called an embedded single-case design — is a qualitative strategy in which a researcher investigates one bounded case (the primary unit of analysis) by systematically examining multiple embedded sub-units within it. Rather than studying several separate cases for comparison, the design focuses all analytical attention on one overarching case while using variation across its internal sub-units to build a richer, more robust understanding of that single case. | 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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