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| Многоизточниково мобилно изследване на преживяванията× | Многоизточнически включено наблюдение× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–2010s | 1980s (building on early 20th-century fieldwork traditions) |
| Създател≠ | Developed from ESM (Csikszentmihalyi & Larson, 1983) and extended to multi-informant intensive longitudinal designs by Bolger, Laurenceau, and colleagues | Developed from classical participant observation traditions (Bronislaw Malinowski, Chicago School); multi-source extension codified by Hammersley & Atkinson and Spradley |
| Тип≠ | Intensive longitudinal multi-informant data collection technique | Qualitative data collection technique |
| Основополагащ източник≠ | Bolger, N., & Laurenceau, J.-P. (2013). Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. Guilford Press. ISBN: 978-1462506781 | Spradley, J. P. (1980). Participant Observation. Holt, Rinehart and Winston. ISBN: 978-0030445019 |
| Други названия | multi-informant ESM, dyadic ESM, multi-respondent ecological momentary assessment, MSESM | multi-site participant observation, triangulated participant observation, multi-vantage participant observation, MSPO |
| Свързани≠ | 6 | 3 |
| Резюме≠ | 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. | Multi-source participant observation is a qualitative data collection technique in which the researcher is embedded within a social setting and systematically gathers observational data from multiple vantage points, sites, or informant roles simultaneously. By triangulating across sources, the method strengthens credibility and provides a richer, more complete picture of social phenomena than single-site observation alone. |
| ScholarGateНабор от данни ↗ |
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