เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิจัยแบบกลุ่มตัวอย่างตามระยะเวลา× | การวิจัยเชิงสำรวจตามช่วงเวลา× | |
|---|---|---|
| สาขาวิชา | การออกแบบการวิจัย | การออกแบบการวิจัย |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1950s–1960s (formalized in epidemiological methodology) | Late 19th–early 20th century; methodologically codified through the 20th century |
| ผู้ริเริ่ม≠ | Richard Doll & Austin Bradford Hill (landmark Doctors' Cohort Study, 1951); cohort logic formalized in mid-20th century epidemiology | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| ประเภท≠ | Quantitative observational longitudinal design | Quantitative (or mixed) observational research design |
| แหล่งต้นตำรับ≠ | Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195083439 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| ชื่อเรียกอื่น | longitudinal cohort study, prospective cohort study, cohort follow-up study, panel cohort design | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| ที่เกี่ยวข้อง≠ | 2 | 4 |
| สรุป≠ | Longitudinal cohort research is an observational quantitative design that recruits a defined group of individuals sharing a common characteristic (the cohort) and follows them prospectively over time, collecting data at multiple points to examine how outcomes develop, risks accumulate, or relationships change. It is the cornerstone design for studying causation, developmental trajectories, and the natural history of phenomena in epidemiology, social science, and education. | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
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