This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2780) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (908) Ecological Momentary Assessment (EMA) (347) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (533)

Published on in Vol 5, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28007, first published .
The Effect of Training on Participant Adherence With a Reporting Time Frame for Momentary Subjective Experiences in Ecological Momentary Assessment: Cognitive Interview Study

The Effect of Training on Participant Adherence With a Reporting Time Frame for Momentary Subjective Experiences in Ecological Momentary Assessment: Cognitive Interview Study

The Effect of Training on Participant Adherence With a Reporting Time Frame for Momentary Subjective Experiences in Ecological Momentary Assessment: Cognitive Interview Study

Authors of this article:

Cheng K Fred Wen1 Author Orcid Image ;   Doerte U Junghaenel1 Author Orcid Image ;   David B Newman2 Author Orcid Image ;   Stefan Schneider1 Author Orcid Image ;   Marilyn Mendez1 Author Orcid Image ;   Sarah E Goldstein1 Author Orcid Image ;   Sarah Velasco1 Author Orcid Image ;   Joshua M Smyth3 Author Orcid Image ;   Arthur A Stone1, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

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  1. Klaus F, Peek E, Quynh A, Sutherland A, Selvam D, Moore R, Depp C, Eyler L. Mobile survey engagement by older adults is high during multiple phases of the COVID-19 pandemic and is predicted by baseline and structural factors. Frontiers in Digital Health 2022;4 View
  2. Stone A, Schneider S, Smyth J. Evaluation of Pressing Issues in Ecological Momentary Assessment. Annual Review of Clinical Psychology 2023;19(1):107 View
  3. Schneider S, Hernandez R, Junghaenel D, Orriens B, Lee P, Stone A. Response times in Ecological Momentary Assessment (EMA): shedding light on the response process with a drift diffusion model. Current Psychology 2024;43(7):5868 View
  4. Blok D, Simoski B, van Woudenberg T, Buijzen M. The Usefulness of Web-Based Communication Data for Social Network Health Interventions: Agent-Based Modeling Study. JMIR Pediatrics and Parenting 2023;6:e44849 View
  5. Tate A, Fertig A, de Brito J, Ellis É, Carr C, Trofholz A, Berge J. Momentary Factors and Study Characteristics Associated With Participant Burden and Protocol Adherence: Ecological Momentary Assessment. JMIR Formative Research 2024;8:e49512 View
  6. Tung I, Balaji U, Hipwell A, Low C, Smyth J. Feasibility and acceptability of measuring prenatal stress in daily life using smartphone-based ecological momentary assessment and wearable physiological monitors. Journal of Behavioral Medicine 2024;47(4):635 View
  7. Schneider S, Toledo M, Junghaenel D, Smyth J, Lee P, Goldstein S, Pomeroy O, Stone A. Do delayed responses introduce bias in ecological momentary assessment? Evidence from comparisons between self-reported and objective physical activity. Frontiers in Psychology 2025;15 View
  8. Junghaenel D, Fillingim R, Pratscher S, Goldstein S, Mackey S, Stone A. Development and preliminary testing of a comprehensive Ecological Momentary Assessment of people with chronic pain. The Journal of Pain 2025;29:105328 View
  9. Eisele G, Hiekkaranta A, Kunkels Y, Rot M, van Ballegooijen W, Bartels S, Bastiaansen J, Beymer P, Bylsma L, Carpenter R, Ellison W, Fisher A, Forkmann T, Frumkin M, Fulford D, Naragon-Gainey K, Greene T, Heininga V, Jones A, Kalokerinos E, Kuppens P, Modecki K, Müller F, Neubauer A, Panaite V, Schneider M, Sun J, Wilson S, Zygar-Hoffmann C, Myin-Germeys I, Kirtley O. ESM-Q: A consensus-based quality assessment tool for experience sampling method items. Behavior Research Methods 2025;57(4) View