2021
Weigand, A., Trilla, I., Enk, L., O’connell, G., Prehn, K., Brick, T., & Dziobek, I. (). How much of me do i see in other minds? Modulating egocentricity in emotion judgments by tdcs. Brain Sciences, 11(4). https://doi.org/10.3390/brainsci11040512
Baumgartner, H., & Weijters, B. (). Structural Equation Modeling. , 549-586. https://doi.org/10.1007/978-3-319-57413-4_14
Rappaport, L., Hunter, M., Russell, J., Pinard, G., Bleau, P., & Moskowitz, D. (). Emotional and interpersonal mechanisms in community ssri treatment of social anxiety disorder. Psychiatric Journal of the University of Ottawa, 46(1), E56-E64. https://doi.org/10.1503/jpn.190164
Pearce, A., Pearce, A., Brick, T., Masterson, T., Adise, , Adise, S., Fearnbach, S., Stein, W., English, L., Tanofsky-Kraff, M., Tanofsy-Kraff, M., & Keller, K. (). Using association rules mining to characterize of loss of control eating in childhood. Appetite, 163, 105236. https://doi.org/10.1016/j.appet.2021.105236
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
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
Oravecz, Z., & Vandekerckhove, J. (). A joint model of consensus and change over time. Journal of Mathematical Psychology, 98.
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
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
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
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
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
Ji, L., Chen, M., Oravecz, Z., Cummings, E., Lu, Z., & Chow, S. (). A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural Equation Modeling, 27(3), 442-467. https://doi.org/10.1080/10705511.2019.1623681
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
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
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
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
Bastiaansen, J., Kunkels, Y., Blaauw, F., Boker, S., Ceulemans, E., Chen, M., Cheng, M., Chow, S., Jonge, P., de Jonge, Peter, , de Jonge, P., Emerencia, A., Epskamp, S., Fisher, A., Hamaker, E., Kuppens, P., Lutz, W., Meyer, M., Moulder, R., Oravecz, Z., et al (). Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology. Journal of Psychosomatic Research, 137, 110211. https://doi.org/10.1016/j.jpsychores.2020.110211
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
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