2021
Pearce, A., Brick, T., Masterson, T., Adise, S., Fearnbach, S., Stein, W., English, L., Tanofsky-Kraff, M., & Keller, K. (). Using association rules mining to characterize of loss of control eating in childhood. Appetite, 163. https://doi.org/10.1016/j.appet.2021.105236
Knapp, K., Brick, T., Bunce, S., Deneke, E., & Cleveland, H. (). Daily meaningfulness among patients with opioid use disorder: Examining the role of social experiences during residential treatment and links with post-treatment relapse. Addictive Behaviors, 119. https://doi.org/10.1016/j.addbeh.2021.106914
Van Doren, N., Dickens, C., Benson, L., Brick, T., Gatzke-Kopp, L., & Oravecz, Z. (). Capturing emotion coherence in daily life: Using ambulatory physiology measures and ecological momentary assessments to examine within-person associations and individual differences. Biological Psychology, 162. https://doi.org/10.1016/j.biopsycho.2021.108074
Soriano, E., Lenhard, J., Gonzalez, J., Tennen, H., Chow, S., Otto, A., Perndorfer, C., Shen, B., Siegel, S., & Laurenceau, J. (). Spousal Influence on Diabetes Self-care: Moderating Effects of Distress and Relationship Quality on Glycemic Control. Annals of Behavioral Medicine, 55(2), 123-132. https://doi.org/10.1093/abm/kaaa038
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
2020
Park, J., Chow, S., Fisher, Z., & Molenaar, P. (). Affect and Personality: Ramifications of Modeling (Non-)Directionality in Dynamic Network Models. European Journal of Psychological Assessment, 36(6), 1009-1023. https://doi.org/10.1027/1015-5759/a000612
Bastiaansen, J., Kunkels, Y., Blaauw, F., Boker, S., Ceulemans, E., Chen, M., Chow, S., de Jonge, P., Emerencia, A., Epskamp, S., Fisher, A., Hamaker, E., Kuppens, P., Lutz, W., Meyer, M., Moulder, R., Oravecz, Z., Riese, H., Rubel, J., Ryan, O., 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. https://doi.org/10.1016/j.jpsychores.2020.110211
Bastiaansen, J., Kunkels, Y., Blaauw, F., Boker, S., Ceulemans, E., Chen, M., Chow, S., Jonge, P., Emerencia, A., Epskamp, S., Fisher, A., Hamaker, E., Kuppens, P., Lutz, W., Meyer, M., Moulder, R., Oravecz, Z., Riese, H., Rubel, J., Ryan, O., 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
Liu, C., Ji, L., Chow, S., Kang, B., Leve, L., Shaw, D., Ganiban, J., Natsuaki, M., Reiss, D., & Neiderhiser, J. (). Child Effects on Parental Negativity: The Role of Heritable and Prenatal Factors.. Child Development, 91(5), e1064-e1081. https://doi.org/10.1111/cdev.13404
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.
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
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
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
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
Hung, H., Lee, W., Yang, D., Shen, C., Lei, Z., & Chow, S. (). Efficient Algorithms towards Network Intervention. , 2021-2031. https://doi.org/10.1145/3366423.3380269
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
Ji, L., Chow, S., Crosby, B., & Teti, D. (). Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive Model. MULTIVARIATE BEHAVIORAL RESEARCH, 55(1), 150-151.
Brick, T., & Bailey, D. (). Rock the MIC: The Matrix of Implied Causation for Design and Model Checking. Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920922775
Fisher, Z., Chow, S., Molenaar, P., Fredrickson, B., Pipiras, V., & Gates, K. (). A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2020.1815513
Chen, M., Chow, S., Hammal, Z., Messinger, D., & Cohn, J. (). A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2020.1762065
Chow, S., & Chen, M. (). Nonparametric models for longitudinal data: With implementation in R. JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 45(3), 369-373. https://doi.org/10.3102/1076998620915291
Heshmati, S., Oravecz, Z., Brick, T., & Roeser, R. (). Momentary PERMA as a correlational network: Empirical evidence for daily measures of well-being via network analysis. Applied Developmental Science. https://doi.org/10.1080/10888691.2020.1766356
Mundie, J., Weaver, J., Oravecz, Z., & Brick, T. (). Wear-IT Smartphone App and Framework. .