ScholarGate
Asszisztens

Módszerek összehasonlítása

Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.

Többforrású mobilélmény-mintavételezés×Mobil Élménykérdezés×
TudományterületKérdőíves felmérések módszertanaKérdőíves felmérések módszertana
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve2000s–2010s1983
MegalkotóDeveloped from ESM (Csikszentmihalyi & Larson, 1983) and extended to multi-informant intensive longitudinal designs by Bolger, Laurenceau, and colleaguesMihaly Csikszentmihalyi & Reed Larson
TípusIntensive longitudinal multi-informant data collection techniqueIntensive longitudinal data collection technique
AlapműBolger, 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 ↗
Alternatív nevekmulti-informant ESM, dyadic ESM, multi-respondent ecological momentary assessment, MSESMESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Kapcsolódó65
ÖsszefoglalóMulti-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.
ScholarGateAdatkészlet
  1. v1
  2. 2 Források
  3. PUBLISHED
  1. v1
  2. 2 Források
  3. PUBLISHED

Ugrás a kereséshez Diák letöltése

ScholarGateMódszerek összehasonlítása: Multi-source Mobile Experience Sampling · Mobile Experience Sampling. Letöltve 2026-06-15, forrás: https://scholargate.app/hu/compare