Sy-Miin Chow, PhD

Professor of Human Development & Family Studies

Sy-Miin Chow is a Professor in the Department of Human Development and Family Studies at the Pennsylvania State University and the Principal Investigator of the Emotions and Dynamic Systems Lab. Dr. Chow’s research focuses on the development and adaptation of modeling and analysis tools that are suited to evaluating linear and nonlinear dynamical systems models, including longitudinal structural equation models and state-space modeling techniques. Her current work involves using Kalman filter approaches and dynamical systems models to represent the dynamics of emotion regulation. Her longer term aim is to develop a broader repertoire of data-driven tools tailored toward analyzing the kinds of longitudinal data typically available in the social and behavioral sciences.

Publications

Kim, B. - R., Chow, S. - M., Bray, B., & Teti, D. M.. (2017). Trajectories of mothers’ emotional availability: relations with infant temperament in predicting attachment security. Attachment & Human Development, 19(1), 38 - 57. presented at the Feb-01-2017. doi:10.1080/14616734.2016.1252780
Cole, P. M., Bendezú, J. J., Ram, N., & Chow, S. - M.. (2017). Dynamical Systems Modeling of Early Childhood Self-Regulation. Emotion. presented at the Jan-01-2017. doi:10.1037/emo0000268
Chow, S. - M., Bendezú, J. J., Cole, P. M., & Ram, N.. (2016). A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects. Multivariate Behavioral Research, 51(2-3), 154 - 184. presented at the Mar-05-2016. doi:10.1080/00273171.2015.1123138
Helm, J. Lee, Ram, N., Cole, P. M., & Chow, S. - M.. (2016). Modeling Self-Regulation as a Process Using a Multiple Time-Scale Multiphase Latent Basis Growth Model. Structural Equation Modeling: A Multidisciplinary Journal, 23(5), 635 - 648. presented at the Feb-09-2016. doi:10.1080/10705511.2016.1178580
Lu, Z. - H., Chow, S. - M., & Loken, E.. (2016). Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences. Multivariate Behavioral Research, 1 - 21. presented at the May-06-2017. doi:10.1080/00273171.2016.1168279
Ou, L., Chow, S. - M., Ji, L., & Molenaar, P. C. M.. (2016). (Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial Conditions. Multivariate Behavioral Research, 1 - 22. presented at the Apr-12-2017. doi:10.1080/00273171.2016.1259980
Chow, S. - M., Witkiewitz, K., Grasman, R. P. P. P., & Maisto, S. A.. (2015). The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods, 20(1), 142 - 164. presented at the Jan-01-2015. doi:10.1037/a0038962
Lu, Z. - H., Chow, S. - M., Sherwood, A., & Zhu, H.. (2015). Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data. The Annals of Applied Statistics, 9(3), 1601 - 1620. presented at the Jan-09-2015. doi:10.1214/15-AOAS84610.1214/15-AOAS846SUPP
Chow, S. - M., & Zhang, G.. (2013). Nonlinear Regime-Switching State-Space (RSSS) Models. Psychometrika, 78(4), 740 - 768. presented at the Jan-10-2013. doi:10.1007/s11336-013-9330-8
Chow, S. - M., Grimm, K. J., Filteau, G., Dolan, C. V., & McArdle, J. J.. (2013). Regime-Switching Bivariate Dual Change Score Model. Multivariate Behavioral Research, 48(4), 463 - 502. presented at the Jan-07-2013. doi:10.1080/00273171.2013.787870