Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Mobil API-basert datainnsamling× | Mobile Experience Sampling Method× | |
|---|---|---|
| Fagfelt | Surveymetodikk | Surveymetodikk |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2007–2010 (mainstream smartphone era) | 1983–1987 |
| Opphavsperson≠ | Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem) | Mihaly Csikszentmihalyi & Reed Larson |
| Type≠ | Digital data collection technique | Intensive longitudinal data collection technique |
| Opprinnelig kilde≠ | Luce, M. F., Kahn, B. E., & Malhotra, N. K. (2016). Capturing consumer experiences with mobile research methods. Journal of Consumer Research, 42(6), 949–965. 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 | mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection | ESM, ecological momentary assessment, EMA, daily diary via mobile |
| Relaterte≠ | 6 | 4 |
| Sammendrag≠ | Mobile API-based data collection uses mobile devices (smartphones, tablets) to query application programming interfaces — structured web endpoints that return machine-readable data — enabling researchers to gather behavioral, contextual, sensor-enriched, or platform-generated data in real time from participants in their natural environments. It combines the ubiquity of mobile hardware with the scalability and standardization of RESTful or GraphQL APIs. | The Mobile Experience Sampling Method (ESM) collects repeated, time-stamped self-reports from participants in their natural environment using a smartphone app. By signaling participants multiple times per day over days or weeks, researchers capture psychological states, behaviors, and contexts as they occur — eliminating retrospective bias and revealing within-person dynamics that single-session surveys cannot detect. |
| ScholarGateDatasett ↗ |
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