2023
Gunther, K., Anaya, B., Fisher, Z., Jones, M., Petrie, D., Hlutkowsky, C., & Perez-Edgar, K. (). A Person-Centered, Network-Based Approach to Mother-Infant Neural Synchrony with Functional Near Infrared Spectroscopy: Society for Research on Child Development Biennial Meeting. .
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.
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
Fisher, Z., Kim, Y., Pipiras, V., Crawford, C., Petrie, D., Hunter, M., & Geier, C. (). Structured Estimation of Heterogeneous Time Series. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2283837
Pearce, A., & Brick, T. (). Validation of computational models to characterize cumulative intake curves from video-coded meals. Frontiers in Nutrition, 10(1088053). https://doi.org/10.3389/fnut.2023.1088053
Ji, L., Li, Y., Potter, L., Lam, C., Nahum-Shani, I., Wetter, D., & Chow, S. (). Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data. Frontiers in Digital Health, 5. https://doi.org/10.3389/fdgth.2023.1099517
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
Fisher, Z. (). Machine Learning for Multiple-Subject Time Series Analysis. Annual Meeting of the Society for Multivariate Experimental Psychology.
Shenk, C., Olson, A., Olson, A., Dunning, E., Dunning, E., Shores, K., Ram, N., Fisher, Z., Felt, J., Chimed-Ochir, U., & Chimed-Ochir, U. (). Addressing Contamination Bias in Child Maltreatment Research: Innovative Methods for Enhancing the Accuracy of Causal Estimates: Innovative Methods in Child Maltreatment Research and Practice. . https://doi.org/10.1007/978-3-031-33739-0_2
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.
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
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
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
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
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
Oravecz, Z., Harrington, K., Hakun, J., Katz, M., Wang, C., Zhaoyang, R., & Sliwinski, M. (). Accounting for retest effects in cognitive testing with the Bayesian double exponential model via intensive measurement burst designs. Frontiers in Aging Neuroscience, 14(897343), 128. https://doi.org/10.3389/fnagi.2022.897343
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
Wan, S., Brick, T., Alvarez-Vargas, D., & Bailey, D. (). Triangulating on Developmental Models With a Combination of Experimental and Nonexperimental Estimates. Developmental Psychology. https://doi.org/10.1037/dev0001490