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| Višestruka autoetnografija zasnovana na slučajevima× | Вишеструка студија случаја× | |
|---|---|---|
| Oblast | Kvalitativno | Kvalitativno |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 2000s–2010s | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Tvorac≠ | Heewon Chang, Faith Ngunjiri, Kathy-Ann Hernandez (collaborative autoethnography); broader tradition from Carolyn Ellis and Arthur Bochner | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Tip≠ | Qualitative research design variant | Qualitative research method |
| Temeljni izvor≠ | Chang, H., Ngunjiri, F. W., & Hernandez, K. A. C. (2013). Collaborative Autoethnography. Left Coast Press. ISBN: 978-1611321104 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Drugi nazivi | collective autoethnography, multi-case autoethnography, collaborative autoethnography, multi-site autoethnography | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Srodne≠ | 4 | 6 |
| Sažetak≠ | Multiple case-based autoethnography is a qualitative design that extends autoethnographic inquiry across two or more researcher-participants or cases, enabling systematic comparison of personal lived experiences within a shared cultural or social phenomenon. By generating rich first-person narratives from each case and then conducting a structured cross-case analysis, the approach combines the depth and reflexivity of autoethnography with the comparative analytical power of multiple case design. | 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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