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Amostragem de Experiência Móvel Multi-Fonte×Amostragem de Experiência Móvel×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origem2000s–2010s1983
Autor originalDeveloped from ESM (Csikszentmihalyi & Larson, 1983) and extended to multi-informant intensive longitudinal designs by Bolger, Laurenceau, and colleaguesMihaly Csikszentmihalyi & Reed Larson
TipoIntensive longitudinal multi-informant data collection techniqueIntensive longitudinal data collection technique
Fonte seminalBolger, 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 ↗
Outros nomesmulti-informant ESM, dyadic ESM, multi-respondent ecological momentary assessment, MSESMESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Relacionados65
ResumoMulti-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.
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ScholarGateComparar métodos: Multi-source Mobile Experience Sampling · Mobile Experience Sampling. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare