So sánh phương pháp
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| Nghiên cứu Lịch sử Lưu trữ So sánh× | Nghiên cứu tình huống so sánh× | |
|---|---|---|
| Lĩnh vực≠ | Phương pháp thực địa | Định tính |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Late 19th century (archival foundations); mid-20th century (comparative systematic application) | 1984 (Yin); 1995 (Stake) |
| Người khởi xướng≠ | Leopold von Ranke (archival history); Theda Skocpol, Barrington Moore (comparative-historical synthesis) | Robert K. Yin; Robert E. Stake |
| Loại≠ | Qualitative comparative research design | Qualitative / mixed research design |
| Công trình gốc≠ | Skocpol, T. (1979). States and Social Revolutions: A Comparative Analysis of France, Russia, and China. Cambridge University Press. ISBN: 978-0521294997 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Tên gọi khác | comparative-historical analysis, cross-national archival research, comparative archival history, CHAR | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Liên quan≠ | 6 | 4 |
| Tóm tắt≠ | Comparative historical archival research combines systematic examination of primary archival sources across two or more historical cases — nations, regions, institutions, or time periods — to identify causal patterns, structural similarities, and divergences that single-case histories cannot reveal. It is the method of choice when researchers want to explain why similar or different outcomes emerged across distinct historical contexts using documentary evidence. | Comparative case study is a qualitative research design in which two or more bounded cases are studied in depth and then systematically compared to identify similarities, differences, and patterns across contexts. Rooted in Yin's replication logic and Stake's multiple case framework, it is particularly suited to questions that ask how or why a phenomenon unfolds differently — or similarly — across distinct settings, populations, or time periods. |
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