Сравнение на методи
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| Триангулирано мобилно извадково изследване на преживяванията× | Многоизточниково мобилно изследване на преживяванията× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–present (as an integrated mobile ESM variant) | 2000s–2010s |
| Създател≠ | Csikszentmihalyi & Larson (ESM, 1983); Denzin (triangulation, 1978); integrated in HCI/health informatics research from the 2000s onward | Developed from ESM (Csikszentmihalyi & Larson, 1983) and extended to multi-informant intensive longitudinal designs by Bolger, Laurenceau, and colleagues |
| Тип≠ | Mixed/multi-source data collection technique | Intensive longitudinal multi-informant data collection technique |
| Основополагащ източник≠ | 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 ↗ | Bolger, N., & Laurenceau, J.-P. (2013). Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. Guilford Press. ISBN: 978-1462506781 |
| Други названия | triangulated ESM, multi-source mobile ESM, triangulated ecological momentary assessment, triangulated mobile EMA | multi-informant ESM, dyadic ESM, multi-respondent ecological momentary assessment, MSESM |
| Свързани≠ | 4 | 6 |
| Резюме≠ | 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. | Multi-source Mobile Experience Sampling extends the standard ESM design by simultaneously collecting repeated momentary self-reports from two or more linked informant types — such as patient and caregiver, employee and supervisor, or partners in a dyad — via their smartphones. Signals are delivered concurrently across sources, enabling researchers to examine convergences and discrepancies between informants' real-time experiences and to model interpersonal dynamics at the moment they unfold in daily life. |
| ScholarGateНабор от данни ↗ |
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