2021
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
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
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
Weigand, A., Trilla, I., Enk, L., O’connell, G., Prehn, K., Brick, T., & Dziobek, I. (). How much of me do i see in other minds? Modulating egocentricity in emotion judgments by tdcs. Brain Sciences, 11(4). https://doi.org/10.3390/brainsci11040512
Baumgartner, H., & Weijters, B. (). Structural Equation Modeling. , 549-586. https://doi.org/10.1007/978-3-319-57413-4_14
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
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
Lane, S., Gates, K., Fisher, Z., Arizmendi, C., Molenaar, P., Hallquist, M., Pike, H., Henry, T., Duffy, K., Luo, L., & others, (). Package ‘gimme’. .
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
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
Cleveland, H., Knapp, K., Brick, T., Gajos, J., Russell, M., Bunce, S., Gajos, J., & Bunce, S. (). Effectiveness and Utility of Mobile Device Assessment of Subjective Craving during Residential Opioid Dependence Treatment. Substance Use and Misuse, 56(9), 1284-1294. https://doi.org/10.1080/10826084.2021.1921808
2020
Schneider, J., Brick, T., & Dziobek, I. (). Distance to the Neutral Face Predicts Arousal Ratings of Dynamic Facial Expressions in Individuals With and Without Autism Spectrum Disorder. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.577494
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
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
Brick, T., & Bailey, D. (). Rock the MIC: The Matrix of Implied Causation, a Tool for Experimental Design and Model Checking. Advances in Methods and Practices in Psychological Science, 3(3), 286-299. https://doi.org/10.1177/2515245920922775
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
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
Hilpert, P., Brick, T., Flückiger, C., Vowels, M., Ceulemans, E., Kuppens, P., & Sels, L. (). What can be learned from couple research: Examining emotional co-regulation processes in face-to-face interactions. Journal of Counseling Psychology, 67(4), 475-487. https://doi.org/10.1037/cou0000416
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
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
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