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

Ecological Momentary Assessment (EMA) (272) Evaluation and Research Methodology for mHealth (175) Wearable Devices and Sensors (734) mHealth for Data Collection and Research (773) mHealth for Wellness, Behavior Change and Prevention (2524) Innovations and Technology for Physical Activity Education (613) Fitness Trackers and Smart Pedometers/Accelerometers (513) Mobile Health (mhealth) (2362) Behavior Change (605)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23391, first published .
Measuring Criterion Validity of Microinteraction Ecological Momentary Assessment (Micro-EMA): Exploratory Pilot Study With Physical Activity Measurement

Measuring Criterion Validity of Microinteraction Ecological Momentary Assessment (Micro-EMA): Exploratory Pilot Study With Physical Activity Measurement

Measuring Criterion Validity of Microinteraction Ecological Momentary Assessment (Micro-EMA): Exploratory Pilot Study With Physical Activity Measurement

Authors of this article:

Aditya Ponnada 1 Author Orcid Image ;   Binod Thapa-Chhetry 1 Author Orcid Image ;   Justin Manjourides 2 Author Orcid Image ;   Stephen Intille 1 Author Orcid Image
Article Authors Cited by (11) Tweetations (30) Metrics

Journals

  1. Maher J, Sappenfield K, Scheer H, Zecca C, Hevel D, Kennedy-Malone L. Feasibility and Validity of Assessing Low-Income, African American Older Adults’ Physical Activity and Sedentary Behavior Through Ecological Momentary Assessment. Journal for the Measurement of Physical Behaviour 2021;4(4):343 View
  2. Taylor J, Allman-Farinelli M, Chen J, Gauglitz J, Hamideh D, Jankowska M, Johnson A, Rangan A, Spruijt-Metz D, Yang J, Hekler E. Perspective: A Framework for Addressing Dynamic Food Consumption Processes. Advances in Nutrition 2022;13(4):992 View
  3. Ponnada A, Li J, Wang S, Wang W, Do B, Dunton G, Intille S. Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(1):1 View
  4. Ponnada A, Wang S, Chu D, Do B, Dunton G, Intille S. Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary Results. JMIR Formative Research 2022;6(2):e32772 View
  5. Shvetz C, Gu F, Drodge J, Torous J, Guimond S. Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia. npj Schizophrenia 2021;7(1) View
  6. Perski O, Keller J, Kale D, Asare B, Schneider V, Powell D, Naughton F, ten Hoor G, Verboon P, Kwasnicka D. Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours. Health Psychology Review 2022;16(4):576 View
  7. Stinson L, Liu Y, Dallery J. Ecological Momentary Assessment: A Systematic Review of Validity Research. Perspectives on Behavior Science 2022;45(2):469 View
  8. Monnaatsie M, Biddle S, Kolbe-Alexander T. The Feasibility of a Text-Messaging Intervention Promoting Physical Activity in Shift Workers: A Process Evaluation. International Journal of Environmental Research and Public Health 2023;20(4):3260 View
  9. Nojedehi P, Gunay B, O'Brien W. Deployment of crowdsourced occupant data to support fault detection and diagnosis in buildings. Building and Environment 2023;242:110612 View
  10. Algheryafi R, Bevans K, Hiremath S, Lai J, Tucker C. Convergent Validity of the Patient Reported Outcome Measurement Information System-Pediatric Physical Activity Instrument (PROMIS®-PA) with Wearable Devices in Adolescents. Children 2023;10(6):940 View

Books/Policy Documents

  1. Khanshan A, Van Gorp P, Markopoulos P. Pervasive Computing Technologies for Healthcare. View