2021
Brick, T. (). AGE-RELATED CHANGE IN THE EXTENT PHYSICAL ACTIVITY ATTENUATES NEGATIVE AFFECT REACTIVITY TO STRESSORS IN DAILY LIFE. INNOVATION IN AGING.
2020
Schneider, J., Brick, T., & Dziobek, I. (). Distance to the Neutral Face Predicts Arousal Ratings of Dynamic Facial Expressions in Individuals With and Without Autism Spectrum Disorder. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.577494
Chapman, A., & Santos-Lozada, A. (). Racial and ethnic differences in the associations between social integration, C-reactive protein and depressive symptoms. SSM-Population Health, 12, 100663. https://doi.org/10.1016/j.ssmph.2020.100663
Brick, T., & Bailey, D. (). Rock the MIC: The Matrix of Implied Causation, a Tool for Experimental Design and Model Checking. Advances in Methods and Practices in Psychological Science, 3(3), 286-299. https://doi.org/10.1177/2515245920922775
Oravecz, Z., & Vandekerckhove, J. (). A joint process model of consensus and longitudinal dynamics. Journal of Mathematical Psychology, 98. https://doi.org/10.1016/j.jmp.2020.102386
Fisher, Z., & Bollen, K. (). An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations. Psychometrika, 85(3), 660-683. https://doi.org/10.1007/s11336-020-09721-6
Oravecz, Z., & Vandekerckhove, J. (). A joint model of consensus and change over time. Journal of Mathematical Psychology, 98.
Dopp, A., Mundey, P., Silovsky, J., Hunter, M., & Slemaker, A. (). Economic value of community-based services for problematic sexual behaviors in youth: A mixed-method cost-effectiveness analysis. Child Abuse and Neglect, 105. https://doi.org/10.1016/j.chiabu.2019.104043
Hilpert, P., Brick, T., Flückiger, C., Vowels, M., Ceulemans, E., Kuppens, P., & Sels, L. (). What can be learned from couple research: Examining emotional co-regulation processes in face-to-face interactions. Journal of Counseling Psychology, 67(4), 475-487. https://doi.org/10.1037/cou0000416
Brick, T., Mundie, J., Weaver, J., Fraleigh, R., & Oravecz, Z. (). Low-burden mobile monitoring, intervention, and real-time analysis using the wear-IT framework: example and usability study. JMIR Formative Research, 4(6). https://doi.org/10.2196/16072
McKee, K., Hunter, M., & Neale, M. (). A Method of Correcting Estimation Failure in Latent Differential Equations with Comparisons to Kalman Filtering. Multivariate Behavioral Research, 55(3), 405-424. https://doi.org/10.1080/00273171.2019.1642730
Booij, S., Wigman, J., Jacobs, N., Thiery, E., Derom, C., Wichers, M., & Oravecz, Z. (). Cortisol dynamics in depression: Application of a continuous-time process model. Psychoneuroendocrinology, 115. https://doi.org/10.1016/j.psyneuen.2020.104598
Knapp, K., Cleveland, H., Brick, T., & Bunce, S. (). Daily predictors of meaningfulness among opioid patients: associations with affect, social interactions, and 12-step support. Annals of Behavioral Medicine, 54, S818.
Gates, K., Fisher, Z., & Bollen, K. (). Latent variable GIMME using model implied instrumental variables (MIIVs). Psychological Methods, 25(2), 227-242. https://doi.org/10.1037/met0000229
Oravecz, Z., Dirsmith, J., Heshmati, S., Vandekerckhove, J., & Brick, T. (). Psychological well-being and personality traits are associated with experiencing love in everyday life. Personality and Individual Differences, 153. https://doi.org/10.1016/j.paid.2019.109620
Knapp, K., Brick, T., Bunce, S., Bunce, S., Brick, T., Deneke, E., & Cleveland, H. (). Daily associations among craving, affect, and social interactions in the lives of patients during residential opioid use disorder treatment.. Psychology of Addictive Behaviors. https://doi.org/10.1037/adb0000612
Shewark, E., Shewark, E., Brick, T., & Buss, K. (). Capturing temporal dynamics of fear behaviors on a moment-to-moment basis. Infancy, 25(3), 264-285. https://doi.org/10.1111/infa.12328
Husmann, K., Brick, T., & Estabrook, R. (). mxmmod: Measurement Model of Derivatives in OpenMx. .
Osotsi, A., Osotsi, A., Oravecz, Z., Li, Q., Smyth, J., & Brick, T. (). Individualized Modeling to Distinguish Between High and Low Arousal States Using Physiological Data. Journal of Healthcare Informatics Research, 4(1), 91--109. https://doi.org/10.1007/s41666-019-00064-1
Heshmati, S., Heshmati, S., Oravecz, Z., Brick, T., & Roeser, R. (). Assessing psychological well-being in early adulthood: Empirical evidence for the structure of daily well-being via network analysis. Applied Developmental Science, 26(2), 207-225. https://doi.org/10.1080/10888691.2020.1766356
Mundie, J., Weaver, J., Oravecz, Z., & Brick, T. (). Wear-IT Smartphone App and Framework. .
Leonard, K., Evans, B., Evans, M., Oravecz, Z., Smyth, J., & Downs, D. (). Effect of Technology-Supported Interventions on Prenatal Gestational Weight Gain, Physical Activity, and Healthy Eating Behaviors: a Systematic Review and Meta-analysis. Journal of Technology in Behavioral Science, 6(1), 25-41. https://doi.org/10.1007/s41347-020-00155-6
2019
Gates, K., Fisher, Z., Arizmendi, C., Henry, T., Duffy, K., & Mucha, P. (). Assessing the robustness of cluster solutions obtained from sparse count matrices. Psychological Methods, 24(6), 675-689. https://doi.org/10.1037/met0000204
Adams, E., Marini, M., Brick, T., Paul, I., Birch, L., & Savage, J. (). Ecological momentary assessment of using food to soothe during infancy in the INSIGHT trial. International Journal of Behavioral Nutrition and Physical Activity, 16(1). https://doi.org/10.1186/s12966-019-0837-y
Oravecz, Z., & Brick, T. (). Associations Between Slow- and Fast-Timescale Indicators of Emotional Functioning. Social Psychological and Personality Science, 10(7), 864-873. https://doi.org/10.1177/1948550618797128