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| Мобилно полуструктурирано интервю× | Мобилно събиране на преживявания× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–2010s (smartphone era) | 1983 |
| Създател≠ | Adapted from semi-structured interview tradition; mobile variant emerged with widespread smartphone adoption | Mihaly Csikszentmihalyi & Reed Larson |
| Тип≠ | Qualitative data collection technique | Intensive longitudinal data collection technique |
| Основополагащ източник≠ | Kvale, S. (1996). InterViews: An Introduction to Qualitative Research Interviewing. Sage Publications. ISBN: 978-0803958203 | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| Други названия | smartphone interview, mobile qualitative interview, mSI, mobile-mediated semi-structured interview | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Свързани≠ | 6 | 5 |
| Резюме≠ | A mobile semi-structured interview is a qualitative data collection technique in which a researcher conducts a guided yet flexible conversation with a participant using a smartphone or tablet — through voice calls, video calls, or messaging apps. It inherits the structured flexibility of the classic semi-structured interview while leveraging mobile technology to reach participants in naturalistic, convenient, or geographically dispersed settings. | 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. |
| ScholarGateНабор от данни ↗ |
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