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איסוף נתונים חיישניים אורכי×שיטת דגימת חוויה ניידת×
תחוםמתודולוגיית סקריםמתודולוגיית סקרים
משפחהProcess / pipelineProcess / pipeline
שנת המקור1990s–2000s (accelerated with IoT and wearable devices from ~2010)1983–1987
הוגה השיטהEmerging from ambulatory assessment and wearable technology research communitiesMihaly Csikszentmihalyi & Reed Larson
סוגLongitudinal quantitative/mixed data collection techniqueIntensive longitudinal data collection technique
מקור מכונןLanza, 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 ↗
כינוייםlong-term sensor monitoring, longitudinal sensing, continuous sensor logging, repeated-measures sensor collectionESM, ecological momentary assessment, EMA, daily diary via mobile
קשורות34
תקצירLongitudinal 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.
ScholarGateמערך נתונים
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  1. v1
  2. 2 מקורות
  3. PUBLISHED

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ScholarGateהשוואת שיטות: Longitudinal Sensor Data Collection · Mobile Experience Sampling Method. אוחזר בתאריך 2026-06-15 מתוך https://scholargate.app/he/compare