2023
Ollero, M., Estrada, E., Hunter, M., & Cáncer, P. (). Characterizing Affect Dynamics With a Damped Linear Oscillator Model: Theoretical Considerations and Recommendations for Individual-Level Applications. Psychological Methods. https://doi.org/10.1037/met0000615
Chow, S., Losardo, D., Park, J., & Molenaar, P. (). Continuous-Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models: Structural Equation Modeling: Concepts, Issues, and Applications. , 2.
Hunter, M. (). State Space Mixture Modeling: Finding People with Similar Patterns of Change. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2261224
Jin, C., Osotsi, A., & Oravecz, Z. (). Predicting Adolescent Female Stress with Wearable Device Data Using Machine and Deep Learning. . https://doi.org/10.1109/BSN58485.2023.10331414
Park, J., Fisher, Z., Chow, S., Molenaar PCM, , & Molenaar, P. (). Evaluating Discrete Time Methods for Subgrouping Continuous Processes. Multivariate Behavioral Research, 1-13. https://doi.org/10.1080/00273171.2023.2235685
Ellis, O., Oravecz, Z., & Heshmati, S. (). What Makes Early Adults Feel Loved? Cultural Consensus of Felt Love Experiences in Early Adulthood. Applied Developmental Science. https://doi.org/10.1080/10888691.2022.2158086
Park, J., Chow, S., Epskamp, S., & Molenaar, P. (). Subgrouping with Chain Graphical VAR Models. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2289058
Oravecz, Z., & Vandekerckhove, J. (). Quantifying Evidence for—and against—Granger Causality with Bayes Factors. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2214890
Chen, M., Chen, M., Chow, S., Oravecz, Z., & Ferrer, E. (). Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach. Multivariate Behavioral Research, 58(5), 1014-1038. https://doi.org/10.1080/00273171.2023.2171354
2022
Petrie, D., Fisher, Z., & Geier, C. (). Examining the Influence of Training on the Balance Between Goal-Directed and Habitual Control using Time-varying GAM Models in Adolescents and Young Adults.: The International Congress for Integrative Developmental Cognitive Neuroscience (Flux). .
Bollen, K., Fisher, Z., Brehm, C., Lilly, A., Luo, L., & Ye, A. (). Fifty Years of Structural Equation Models (SEMs): A History of Generalization, Unification, and Diffusion.. Social Science Review, 107, 40. https://doi.org/10.1016/j.ssresearch.2022.102769
Bollen, K., Fisher, Z., Lilly, A., Brehm, C., Luo, L., Martinez, A., & Ye, A. (). Fifty years of structural equation modeling: A history of generalization, unification, and diffusion. Social Science Research, 107. https://doi.org/10.1016/j.ssresearch.2022.102769
Lee, T., Fisher, Z., & Gatkze-Kopp, L. (). Performance Monitoring and its Development – A Cognitive Systems Approach.. Psychophysiology, 58(51).
Fisher, Z., Kim, Y., Fredrickson, B., & Pipiras, V. (). Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data. Psychometrika, 87(2), 1-29. https://doi.org/10.1007/s11336-021-09825-7
Hunter, M., Fatimah, H., & Bornovalova, M. (). Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data (Psychometrika, (2022), 87, 2, (477-505), 10.1007/s11336-021-09827-5). Psychometrika, 87(2), 797. https://doi.org/10.1007/s11336-022-09862-w
Hunter, M., Fatimah, H., & Bornovalova, M. (). Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data. Psychometrika, 87(2), 477-505. https://doi.org/10.1007/s11336-021-09827-5
Luo, L., Fisher, Z., Molenaar, P., Beltz, A., & Kathleen, G. (). Estimating Both Directed and Bidirectional Contemporaneous Relations in Time Series Data Using Hybrid-GIMME.. Psychological Methods. https://doi.org/10.1037/met0000485
Luo, L., Fisher, Z., Arizmendi, C., Molenaar, P., Beltz, A., & Gates, K. (). Estimating Both Directed and Undirected Contemporaneous Relations in Time Series Data Using Hybrid-Group Iterative Multiple Model Estimation. Psychological Methods, 28(1), 189-206. https://doi.org/10.1037/met0000485
Heshmati, S., & Oravecz, Z. (). I feel loved when other people feel loved: Cultural congruence in beliefs on love is related to well-being. Journal of Social and Personal Relationships, 39(2), 347-371. https://doi.org/10.1177/02654075211036510
Van Doren, Natalia, , Van Doren, N., Oravecz, Z., Soto, J., & Roeser, R. (). Examining the Cultural Consensus on Beliefs About Mindfulness Among US College-Attending Young Adults. Mindfulness, 13(10), 2420-2433. https://doi.org/10.1007/s12671-022-01956-x
Hunter, M., McKee, K., & Turkheimer, E. (). Simulated nonlinear genetic and environmental dynamics of complex traits. Development and Psychopathology. https://doi.org/10.1017/S0954579421001796
Li, Y., Li, , Oravecz, Z., Zhou, S., Barnett, I., Bodovski, Y., Zhou, S., Chow, S., Bodovski, Y., Barnett, I., Friedman, N., Chi, G., Barnett, I., Zhou, Y., Chow, S., S., Zhou, Y., Friedman, N., Vrieze, Scott, I, , Vrieze, S., et al (). Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates. Psychometrika, 87(2), 376-402. https://doi.org/10.1007/s11336-021-09831-9
Fredman, S., Fischer, M., Baucom, D., Le, Y., Taverna, E., Chow, S., Ram, N., & Marshall, A. (). PTSD Symptom Cluster Severity Predicts Momentary Emotion Dynamics During Couple Conversations. Behavior Therapy, 54(2), 330-345. https://doi.org/10.1016/j.beth.2022.09.004
Heshmati, S., & Oravecz, Z. (). I feel loved when other people feel loved: Cultural congruence in beliefs on love is related to well-being. Journal of Social and Personal Relationships, 2(39), 347-371. https://doi.org/10.1177/02654075211036510