手法を比較

	縦断的センサーデータ収集	縦断調査
分野	調査方法論	調査方法論
系統	Process / pipeline	Process / pipeline
提唱年	1990s–2000s (accelerated with IoT and wearable devices from ~2010)	1940s (panel survey tradition); longitudinal designs codified mid-20th century
提唱者	Emerging from ambulatory assessment and wearable technology research communities	Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies)
種類	Longitudinal quantitative/mixed data collection technique	Quantitative / mixed-methods survey design
原典	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.]	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292
別名	long-term sensor monitoring, longitudinal sensing, continuous sensor logging, repeated-measures sensor collection	panel survey, repeated-measures survey, longitudinal panel study, wave survey
関連	3	3
概要	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.