विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| लॉन्जिट्यूडिनल मल्टीपल केस स्टडी× | बहु-मामला अध्ययन× | |
|---|---|---|
| क्षेत्र | गुणात्मक | गुणात्मक |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1980s–2000s (Yin's multiple-case framework c. 1984; longitudinal qualitative elaboration c. 2003) | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| प्रवर्तक≠ | Robert K. Yin (multiple case design); Johnny Saldana (longitudinal qualitative methods) | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| प्रकार≠ | Qualitative longitudinal research design | Qualitative research method |
| मौलिक स्रोत | 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 |
| उपनाम | longitudinal multi-case study, repeated multiple case study, panel case study, multi-site longitudinal case study | comparative case study, multi-site case study, collective case study, cross-case analysis |
| संबंधित | 6 | 6 |
| सारांश≠ | Longitudinal multiple case study is a qualitative research design that examines two or more bounded cases through repeated data-collection waves over an extended period. By tracking each case across time and comparing patterns across cases, researchers can document how phenomena change, stabilise, or diverge — generating both depth within each site and breadth across sites that neither a single case nor a one-shot survey can provide. | 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. |
| ScholarGateडेटासेट ↗ |
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