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

Mobile Health (mhealth) (3465) Ecological Momentary Assessment (EMA) (405) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (998) mHealth for Data Collection and Research (1196) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50275, first published .
Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment

Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment

Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment

Authors of this article:

Michael S Businelle1, 2 Author Orcid Image ;   Emily T Hébert3 Author Orcid Image ;   Dingjing Shi4 Author Orcid Image ;   Lizbeth Benson1, 5 Author Orcid Image ;   Krista M Kezbers1 Author Orcid Image ;   Sarah Tonkin1 Author Orcid Image ;   Megan E Piper6 Author Orcid Image ;   Tianchen Qian7 Author Orcid Image
Article Authors Cited by (12) Tweetations (15) Metrics

Journals

  1. Garey L, Robison J, Matoska C, Montgomery A, Jones A, Hébert E, Vujanovic A, Kezbers K, Cheney M, Gallagher M, Obasi E, Zvolensky M, Businelle M. A proof-of-concept trial of a smoking cessation and anxiety sensitivity reduction smartphone application for Black adults. Cognitive Behaviour Therapy 2025;54(4):531 View
  2. La Torre I, Hébert E, Kezbers K, Walters D, Pope Z, Mao B, Benson L, Shi D, Stanley N, Businelle M. Associations between cannabis use and same-day health and substance use behaviors. Addictive Behaviors 2025;163:108239 View
  3. Choi M. Utilizing ecological momentary assessment in nursing research. Women's Health Nursing 2024;30(4):259 View
  4. Kezbers K, Robertson M, Hébert E, Montgomery A, Businelle M. Detecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study. Journal of Medical Internet Research 2025;27:e66384 View
  5. Švihrová R, Dei Rossi A, Marzorati D, Tzovara A, Faraci F. Designing digital health interventions with causal inference and multi-armed bandits: a review. Frontiers in Digital Health 2025;7 View
  6. Thro A, Babcock P, Covington T, Green K, Penney C, Fanning J, Hugenschmidt C. Effects of an intergenerational Kindermusik class on stress and affect in older adults with dementia and their caregivers: a pilot study using ecological momentary assessment. Frontiers in Aging 2025;6 View
  7. Reiter T, Sakel S, Scharbert J, ter Horst J, van Zalk M, Back M, Bühner M, Schoedel R. Side Effects of Experience-Sampling Protocols: A Systematic Analysis of How They Affect Data Quality, Data Quantity, and Bias in Study Results. Advances in Methods and Practices in Psychological Science 2025;8(3) View
  8. Carlozzi N, Troost J, Lombard W, Miner J, Graves C, Choi S, Wu Z, Sen S, Sander A. Completion and Compliance Rates for an Intensive mHealth Study Design to Promote Self-Awareness and Self-Care Among Care Partners of Individuals With Traumatic Brain Injury: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2025;13:e73772 View
  9. Ponnada A, Wang S, Li J, Wang W, Dunton G, Hedeker D, Intille S. Longitudinal User Engagement with Microinteraction Ecological Momentary Assessment (μEMA). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(3):1 View
  10. Glime A, Mahmoud T, Rusagara S, St Charles A, Lekshmi D, Peterson A, Sathyanarayana A. Quantifying Maternal Health Using Digital Phenotyping: Protocol for a Longitudinal Observational Study. JMIR Research Protocols 2025;14:e77175 View
  11. Urueta Tapia D, Corliss H, Lee K, Calzo J, Jun H. Assessing Minority Stress and Physiological Response Through Ecological Momentary Assessment and Sensors: Protocol for a Feasibility and Acceptability of the Stress and Heart Pilot Study. JMIR Formative Research 2025;9:e68733 View
  12. Stenzel K, Kirchner L, Wilhelm M, Rief W, Berg M. Conceptualizing Student Problem Dynamics Using Idiographic and Data-Driven Networks: A Feasibility Trial. Cognitive Therapy and Research 2025 View