2021

Tan, S., Tan, S., Tan, S., Gamaldo, A., Brick, T., Thorpe, Jr., R., Thorpe, R., Allaire, J., & Whitfield, K. (). The effects of selective survival on black adults' cognitive development. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 76(8), 1489-1498. https://doi.org/10.1093/geronb/gbab003
Lee, J., Chow, S., Lei, P., Chow, S., Wijekumar, K., Wijekuman, K., & Molenaar, P. (). Dynamics of learning: time-varying feedback effects within the intelligent tutoring system of structure strategy (ITSS). AV communication review, 69(6), 2963–2984. https://doi.org/10.1007/s11423-021-10049-w
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
Van Doren, N., van Doren, N., Dickens, C., Dickens, C., Benson, L., Benson, L., Brick, T., Kopp, L., 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, 28. https://doi.org/10.1016/j.biopsycho.2021.108074
Le, Y., Le, Y., Fredman, S., Chow, S., Chow, S., Marshall, A., Chow, S., McDaniel, B., Laurenceau, J., & Feinberg, M. (). Relational Impacts of Capitalization in Early Parenthood. Journal of Family Psychology, 36(1), 69-79. https://doi.org/10.1037/fam0000847
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
Zhou, S., Li, Y., Li, Y., Chi, G., Oravecz, Z., Yin, J., Oravecz, Z., Bodovski, Y., Friedman, N., Bodovski, Y., Vrieze, S., Friedman, N., Chow, S., Vrieze, S., & Chow, S. (). GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data. Journal of Behavioral Data Science, 1(2), 130-158. https://doi.org/10.35566/jbds/v1n2/p5

2020

Park, J., Park, J., Chow, S., 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
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.
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
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
Lei, Z., Hung, H., Lee, W., Yang, D., Shen, C., & Chow, S. (). Efficient Algorithms towards Network Intervention. The Web Conference 2020 (WWW ’20), 2021, 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
Fisher, Z., Chow, S., Molenaar, P., Molenaar, Peter C. M., , Fredrickson, B., Pipiras, V., & Gates, K. (). A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters. Multivariate Behavioral Research, 57(1), 134-152. https://doi.org/10.1080/00273171.2020.1815513
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
Chow, S., You, D., & Clouthier, T. (). A regime-switching framework for formulating multi-phase linear and nonlinear growth curves: MARCES Series: Applications of Artificial Intelligence to Assessment. , 193-234.
Dunton, G., Wang, S., Ponnada, A., Campo, R., Chow, S., & Intille, S. (). INNOVATIVE ECOLOGICAL MOMENTARY ASSESSMENT STRATEGIES TO CAPTURE MICRO-TEMPORAL PROCESSES UNDERLYING LONG-TERM CHANGES IN PHYSICAL ACTIVITY, SEDENTARY BEHAVIOR, AND SLEEP. ANNALS OF BEHAVIORAL MEDICINE, 54, S146-S146.
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. https://doi.org/10.1080/00273171.2019.1697863