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| Wywiad mobilny częściowo ustrukturyzowany× | Metoda próbkowania doświadczeń w warunkach mobilnych× | |
|---|---|---|
| Dziedzina | Metodologia badań sondażowych | Metodologia badań sondażowych |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2000s–2010s (smartphone era) | 1983 |
| Twórca≠ | Adapted from semi-structured interview tradition; mobile variant emerged with widespread smartphone adoption | Mihaly Csikszentmihalyi & Reed Larson |
| Typ≠ | Qualitative data collection technique | Intensive longitudinal data collection technique |
| Źródło pierwotne≠ | 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 ↗ |
| Inne nazwy | smartphone interview, mobile qualitative interview, mSI, mobile-mediated semi-structured interview | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Pokrewne≠ | 6 | 5 |
| Podsumowanie≠ | 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. |
| ScholarGateZbiór danych ↗ |
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