เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การเก็บข้อมูลเซ็นเซอร์เชิงระยะยาว× | ระเบียบวิธีเก็บข้อมูลประสบการณ์เคลื่อนที่ (Mobile Experience Sampling Method× | |
|---|---|---|
| สาขาวิชา | ระเบียบวิธีสำรวจ | ระเบียบวิธีสำรวจ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1990s–2000s (accelerated with IoT and wearable devices from ~2010) | 1983–1987 |
| ผู้ริเริ่ม≠ | Emerging from ambulatory assessment and wearable technology research communities | Mihaly Csikszentmihalyi & Reed Larson |
| ประเภท≠ | Longitudinal quantitative/mixed data collection technique | Intensive longitudinal data collection technique |
| 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 ↗ | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| ชื่อเรียกอื่น | long-term sensor monitoring, longitudinal sensing, continuous sensor logging, repeated-measures sensor collection | ESM, ecological momentary assessment, EMA, daily diary via mobile |
| ที่เกี่ยวข้อง≠ | 3 | 4 |
| 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. | The Mobile Experience Sampling Method (ESM) collects repeated, time-stamped self-reports from participants in their natural environment using a smartphone app. By signaling participants multiple times per day over days or weeks, researchers capture psychological states, behaviors, and contexts as they occur — eliminating retrospective bias and revealing within-person dynamics that single-session surveys cannot detect. |
| ScholarGateชุดข้อมูล ↗ |
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