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Pensampelan Pengalaman Mudah Alih Pelbagai Sumber×Pensampelan Pengalaman Mudah Alih×
BidangMetodologi TinjauanMetodologi Tinjauan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal2000s–2010s1983
PengasasDeveloped from ESM (Csikszentmihalyi & Larson, 1983) and extended to multi-informant intensive longitudinal designs by Bolger, Laurenceau, and colleaguesMihaly Csikszentmihalyi & Reed Larson
JenisIntensive longitudinal multi-informant data collection techniqueIntensive longitudinal data collection technique
Sumber perintisBolger, N., & Laurenceau, J.-P. (2013). Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. Guilford Press. ISBN: 978-1462506781Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗
Aliasmulti-informant ESM, dyadic ESM, multi-respondent ecological momentary assessment, MSESMESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Berkaitan65
RingkasanMulti-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.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.
ScholarGateSet data
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ScholarGateBandingkan kaedah: Multi-source Mobile Experience Sampling · Mobile Experience Sampling. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare