Ecological Momentary Assessment and Daily Diary Methods
Ecological Momentary Assessment methods provide rich information about people’s thoughts, experiences, and behaviors in their daily lives by repeatedly collecting data in real time, often via smartphone or sensor, in peoples’ natural environments.
- Knell G, Gabriel KP, Businelle MS, Shuval K, Wetter DW, Kendzor DE. Ecological momentary assessment of physical activity: validation study. J Med Internet Res. 2017 Jul 18;19(7):e253. doi: 10.2196/jmir.7602. PubMed PMID: 28720556; PubMed Central PMCID: PMC5539388.
- Chung, T., Bae, S. W., Mun, E.-Y., Suffoletto, B., Jang, S., & Dey, A. (2020). Mobile assessment of acute effects of marijuana on cognitive functioning in young adults: A pilot study. JMIR mHealth and uHealth 8(3), e16240
- Lewis, M. A., Litt, D. M., King, K. M., Fairlie, A. M., Garcia, T. M., LoParco, C. & Lee, C.M. (2019). Examining the ecological validity of the prototype willingness model for underage drinking. Psychology of Addictive Behaviors, 34, 293-302.
- Litt, D. M., Zhou, Z., Fairlie, A. M., King, K. M., Cross, A., Kannard, E., Geusens, F., & Lewis, M. A. (2023). Daily-level examination indicates that positive affect, but not negative affect, is associated with alcohol and marijuana use among adolescents and young adults. Psychology of Addictive Behaviors, epub ahead of print.
- LoParco, C., Zhou, Z., Fairlie, A. M., Litt, D. M., Lee, C. M., & Lewis, M. A. (2021). Testing daily-level drinking and negative consequences as predictors of next day drinking cognitions. Addictive Behaviors, 122, 107042.
- Mun, E.-Y., Li, X., Businelle, M. S., Hebert, E., Tan, Z., Barnett, N. P., & Walters, S. T. (2021).
- Ecological momentary assessment of alcohol consumption and its concordance with transdermal alcohol detection and timeline follow-back self-report among adults experiencing homelessness. Alcoholism: Clinical and Experimental Research, 45(4), 864-876.
- Ray, A. E., Stapleton, J. L., Turrisi, R., & Mun, E.-Y. (2014). Drinking game play among first-year college student drinkers: An event-speci_c analysis of the risk for alcohol use and problems. The American Journal of Drug and Alcohol Abuse, 40(5), 353-358.
- Walters, S. T., Businelle, M. S., Suchting, R., Li, X., Hebert, E. T., & Mun, E-Y. (2021). Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness. Journal of Substance Abuse Treatment, 127, 108417