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| Kajian Kes Berasaskan Lapangan× | Reka Bentuk Kajian Pelbagai Kes× | |
|---|---|---|
| Bidang | Kualitatif | Kualitatif |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1970s–1990s (formalized by Yin 1984, Stake 1995) | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Pengasas≠ | Robert Yin, Robert Stake (case study formalization); field-based tradition rooted in anthropological and sociological fieldwork | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Jenis≠ | Qualitative research design | Qualitative research method |
| Sumber perintis | 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 |
| Alias | fieldwork case study, naturalistic case study, in-situ case study, field case study | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | A field-based case study is a qualitative research design that investigates a bounded phenomenon — a case — within its real-world, natural setting through sustained on-site data collection. Combining the analytical structure of case study methodology with the direct observational immersion of fieldwork, it enables rich, context-sensitive understanding of how phenomena unfold in practice. The approach is firmly grounded in the frameworks of Robert Yin and Robert Stake and draws on anthropological traditions of participant and non-participant observation. | 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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