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| Nghiên cứu định lượng thăm dò dựa trên bảng điều tra× | Nghiên cứu thuần tập× | |
|---|---|---|
| Lĩnh vực≠ | Thiết kế nghiên cứu | Dịch tễ học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1940s–1960s (formalized in social sciences) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Người khởi xướng≠ | Rooted in panel survey methodology developed broadly in social science (Lazarsfeld, 1940s; Kish, 1965) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Loại≠ | Quantitative observational research design | Observational longitudinal study design |
| Công trình gốc≠ | Lynn, P. (Ed.). (2009). Methodology of Longitudinal Surveys. John Wiley & Sons. ISBN: 978-0470018712 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Tên gọi khác | exploratory panel study, panel survey design, longitudinal exploratory survey, repeated-measures exploratory design | longitudinal study, follow-up study, panel study, incidence study |
| Liên quan≠ | 3 | 6 |
| Tóm tắt≠ | Panel-based exploratory quantitative research tracks the same sample of participants across multiple measurement points to discover patterns, relationships, and change processes that a single snapshot cannot reveal. Because the research goal is exploratory — uncovering structure rather than testing a predetermined hypothesis — the design is especially valuable in emerging topic areas where theory is underdeveloped and the relevant variables are not yet well understood. | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. |
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