পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| দীর্ঘমেয়াদী সেন্সর ডেটা সংগ্রহ× | মোবাইল এক্সপেরিয়েন্স স্যাম্পলিং মেথড× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1990s–2000s (accelerated with IoT and wearable devices from ~2010) | 1983–1987 |
| প্রবর্তক≠ | Emerging from ambulatory assessment and wearable technology research communities | Mihaly Csikszentmihalyi & Reed Larson |
| ধরন≠ | Longitudinal quantitative/mixed data collection technique | Intensive longitudinal data collection technique |
| মৌলিক উৎস≠ | 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 ↗ |
| অপর নাম | long-term sensor monitoring, longitudinal sensing, continuous sensor logging, repeated-measures sensor collection | ESM, ecological momentary assessment, EMA, daily diary via mobile |
| সম্পর্কিত≠ | 3 | 4 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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