2023
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
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
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
Hunter, M. (). State Space Mixture Modeling: Finding People with Similar Patterns of Change. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2261224
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.
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
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
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
Merritt, S., Heshmati, S., Oravecz, Z., & Donaldson, S. (). Web of well-being: re-examining PERMA and subjective well-being through networks. Journal of Positive Psychology. https://doi.org/10.1080/17439760.2023.2209538
Chow, S., Nahum-Shani, I., Baker, J., Spruijt-Metz, D., Allen, N., Auerbach, R., Dunton, G., Friedman, N., Intille, S., Klasnja, P., Marlin, B., Nock, M., Rauch, S., Pavel, M., Vrieze, S., Wetter, D., Kleiman, E., Brick, T., Perry, H., Wolff-Hughes, D., et al (). The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols. Translational Behavioral Medicine, 13(1), 7-16. https://doi.org/10.1093/tbm/ibac069
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
Lee, T., Fisher, Z., & Gatkze-Kopp, L. (). Performance Monitoring and its Development – A Cognitive Systems Approach.. Psychophysiology, 58(51).
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
Ciston, A., Forster, C., Brick, T., Kühn, S., Verrel, J., & Filevich, E. (). Do I look like I'm sure?: Partial metacognitive access to the low-level aspects of one's own facial expressions. Cognition, 225. https://doi.org/10.1016/j.cognition.2022.105155
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
Schneider, J., Matyjek, M., Weigand, A., Dziobek, I., & Brick, T. (). Subjective and objective difficulty of emotional facial expression perception from dynamic stimuli. PLoS One, 17(6). https://doi.org/10.1371/journal.pone.0269156
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
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
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
Bustamante, D., Amstadter, A., Pritikin, J., Brick, T., & Neale, M. (). Associations Between Traumatic Stress, Brain Volumes and Post-traumatic Stress Disorder Symptoms in Children: Data from the ABCD Study. Behavior Genetics, 52(2), 75-91. https://doi.org/10.1007/s10519-021-10092-6
Mascherek, A., Weber, S., Riebandt, K., Cassanello, C., Leicht, G., Brick, T., Gallinat, J., & Kühn, S. (). On the relation between a green and bright window view and length of hospital stay in affective disorders. Psychiatrie et Psychobiologie, 65(1). https://doi.org/10.1192/j.eurpsy.2022.9