2021
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
Zhou, S., Li, Y., Li, Y., Chi, G., Yin, J., Oravecz, Z., Oravecz, Z., Bodovski, Y., Friedman, N., Bodovski, Y., Friedman, N., Vrieze, S., 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(1), 127-155. https://doi.org/10.35566/jbds/v1n2/p5
Li, Y., Wood, J., Wood, , Ji, L., Ji, , Chow, S., Chow, S., & Oravecz, Z. (). Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus. Structural Equation Modeling, 29(3), 452-475. https://doi.org/10.1080/10705511.2021.1911657
Bollen, K., Fisher, Z., Giordano, M., Lilly, A., Luo, L., & Ye, A. (). An Introduction to Model Implied Instrumental Variables Using Two Stage Least Squares (MIIV-2SLS) in Structural Equation Models (SEMs). Psychological Methods. https://doi.org/10.1037/met0000297
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
Baumgartner, H., & Weijters, B. (). Structural Equation Modeling. , 549-586. https://doi.org/10.1007/978-3-319-57413-4_14
Fuchs, B., Roberts, N., Adise, S., Pearce, A., Geier, C., White, C., Oravecz, Z., & Keller, K. (). Decision-Making Processes Related to Perseveration Are Indirectly Associated With Weight Status in Children Through Laboratory-Assessed Energy Intake. Frontiers in Psychology, 12, 652595. https://doi.org/10.3389/fpsyg.2021.652595
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
Brick, T. (). AGE-RELATED CHANGE IN THE EXTENT PHYSICAL ACTIVITY ATTENUATES NEGATIVE AFFECT REACTIVITY TO STRESSORS IN DAILY LIFE. INNOVATION IN AGING.
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
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
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.
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
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
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
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.
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
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
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
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.
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