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| Triangulated Mobile Experience Sampling× | Pensampelan Pengalaman Mudah Alih× | |
|---|---|---|
| Bidang | Metodologi Tinjauan | Metodologi Tinjauan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2000s–present (as an integrated mobile ESM variant) | 1983 |
| Pengasas≠ | Csikszentmihalyi & Larson (ESM, 1983); Denzin (triangulation, 1978); integrated in HCI/health informatics research from the 2000s onward | Mihaly Csikszentmihalyi & Reed Larson |
| Jenis≠ | Mixed/multi-source data collection technique | Intensive longitudinal data collection technique |
| Sumber perintis≠ | Csikszentmihalyi, M., & Larson, R. (1983). The Experience Sampling Method. In H. T. Reis (Ed.), Naturalistic Approaches to Studying Social Interaction (pp. 41–56). Jossey-Bass. 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 ↗ |
| Alias | triangulated ESM, multi-source mobile ESM, triangulated ecological momentary assessment, triangulated mobile EMA | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Berkaitan≠ | 4 | 5 |
| Ringkasan≠ | Triangulated Mobile Experience Sampling combines the Experience Sampling Method (ESM) — repeated, real-time self-reports delivered via smartphone — with deliberate triangulation across two or more data sources, instruments, or methods. By converging mobile survey prompts with passive sensor streams, behavioral logs, or complementary qualitative probes, the technique strengthens construct validity and enables cross-verification of findings collected in participants' natural environments. | Mobile Experience Sampling (ESM) is an intensive longitudinal data-collection technique in which participants respond to brief, repeated questionnaires delivered to their smartphones at random or scheduled intervals throughout the day. By capturing thoughts, feelings, behaviors, and context at or near the moment they occur, ESM minimises retrospective recall bias and provides a high-resolution picture of psychological and behavioral fluctuations in everyday life. |
| ScholarGateSet data ↗ |
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