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| Nghiên cứu trường hợp đa dạng kỹ thuật số× | Thiết kế nghiên cứu trường hợp đa dạng× | |
|---|---|---|
| Lĩnh vực | Định tính | Định tính |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1984 (Yin's case study framework); digital adaptation ~2000s–2010s | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Người khởi xướng≠ | Robert K. Yin (case study methodology); extended to digital contexts by various digital methods scholars | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Loại≠ | Qualitative comparative research design | Qualitative research method |
| Công trình gốc | 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 |
| Tên gọi khác | online multiple case study, digital multi-site case study, virtual multiple case study, digital comparative case inquiry | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | Digital Multiple Case Study is a qualitative research design in which two or more bounded digital cases — such as online communities, social media platforms, virtual organizations, or digital ecosystems — are studied in depth and then compared systematically. Grounded in Yin's case study methodology and adapted for digital settings, the approach combines the contextual richness of single-case inquiry with the analytic leverage of cross-case comparison in online environments. | 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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