เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การเก็บข้อมูลเซ็นเซอร์เชิงระยะยาว× | การสำรวจแบบระยะยาว× | |
|---|---|---|
| สาขาวิชา | ระเบียบวิธีสำรวจ | ระเบียบวิธีสำรวจ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1990s–2000s (accelerated with IoT and wearable devices from ~2010) | 1940s (panel survey tradition); longitudinal designs codified mid-20th century |
| ผู้ริเริ่ม≠ | Emerging from ambulatory assessment and wearable technology research communities | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) |
| ประเภท≠ | Longitudinal quantitative/mixed data collection technique | Quantitative / mixed-methods survey design |
| แหล่งต้นตำรับ≠ | Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2005). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling, 14(4), 671–694. [For longitudinal intensive repeated-measures designs context, see also: Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32.] link ↗ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 |
| ชื่อเรียกอื่น | long-term sensor monitoring, longitudinal sensing, continuous sensor logging, repeated-measures sensor collection | panel survey, repeated-measures survey, longitudinal panel study, wave survey |
| ที่เกี่ยวข้อง | 3 | 3 |
| สรุป≠ | Longitudinal sensor data collection deploys physical or digital sensors to record phenomena continuously or at regular intervals across an extended study period — days, months, or years. Unlike one-shot measurement, the repeated temporal structure captures change, trajectory, and variability in outcomes such as physical activity, environmental exposure, sleep, or physiological state. The approach combines the ecological validity of real-world sensing with the analytical power of longitudinal design. | A longitudinal survey collects structured questionnaire data from the same individuals or units at two or more distinct points in time. By tracking the same respondents across waves, researchers can distinguish genuine change from stable individual differences, establish temporal ordering between variables, and model trajectories of attitudes, behaviors, or outcomes in ways that a single cross-sectional snapshot cannot support. |
| ScholarGateชุดข้อมูล ↗ |
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