Publications

2020

Ji, L., Chow, S., Crosby, B., & Teti, D. (2020). Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive Model.. Multivariate Behavioral Research, 55(1), 150-151. https://doi.org/10.1080/00273171.2019.1697863

Heshmati, S., Heshmati, S., Oravecz, Z., Brick, T., & Roeser, R. (2020). Assessing psychological well-being in early adulthood: Empirical evidence for the structure of daily well-being via network analysis. Applied Developmental Science, 26(2), 207-225. https://doi.org/10.1080/10888691.2020.1766356

Fisher, Z., Chow, S., Molenaar, P., Molenaar, Peter C. M., , Fredrickson, B., Pipiras, V., & Gates, K. (2020). A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters. Multivariate Behavioral Research, 57(1), 134-152. https://doi.org/10.1080/00273171.2020.1815513

Chen, M., Chow, S., Hammal, Z., Messinger, D., Cohn, J., Cohn, J., & Messinger, D. (2020). A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2020.1762065

Cole, P., Lougheed, J., Chow, S., & Ram, N. (2020). Development of Emotion Regulation Dynamics Across Early Childhood: a Multiple Time-Scale Approach. Affective Science, 1(1), 28-41. https://doi.org/10.1007/s42761-020-00004-y

Dunton, G., Wang, S., Ponnada, A., Campo, R., Chow, S., & Intille, S. (2020). INNOVATIVE ECOLOGICAL MOMENTARY ASSESSMENT STRATEGIES TO CAPTURE MICRO-TEMPORAL PROCESSES UNDERLYING LONG-TERM CHANGES IN PHYSICAL ACTIVITY, SEDENTARY BEHAVIOR, AND SLEEP. ANNALS OF BEHAVIORAL MEDICINE, 54, S146-S146.

Shewark, E., Shewark, E., Brick, T., & Buss, K. (2020). Capturing temporal dynamics of fear behaviors on a moment-to-moment basis. Infancy, 25(3), 264-285. https://doi.org/10.1111/infa.12328

Husmann, K., Brick, T., & Estabrook, R. (2020). mxmmod: Measurement Model of Derivatives in OpenMx. .

2019

Gates, K., Fisher, Z., Arizmendi, C., Henry, T., Duffy, K., & Mucha, P. (2019). Assessing the robustness of cluster solutions obtained from sparse count matrices. Psychological Methods, 24(6), 675-689. https://doi.org/10.1037/met0000204

Adams, E., Marini, M., Brick, T., Paul, I., Birch, L., & Savage, J. (2019). Ecological momentary assessment of using food to soothe during infancy in the INSIGHT trial. International Journal of Behavioral Nutrition and Physical Activity, 16(1). https://doi.org/10.1186/s12966-019-0837-y

Chow, S. (2019). Practical Tools and Guidelines for Exploring and Fitting Linear and Nonlinear Dynamical Systems Models. Multivariate Behavioral Research, 54(5), 690-718. https://doi.org/10.1080/00273171.2019.1566050

Oravecz, Z., & Brick, T. (2019). Associations Between Slow- and Fast-Timescale Indicators of Emotional Functioning. Social Psychological and Personality Science, 10(7), 864-873. https://doi.org/10.1177/1948550618797128

Ou, L., Hunter, M., & Chow, S. (2019). What's for dynr: A package for linear and nonlinear dynamic modeling in R. R Journal, 11(1). https://doi.org/10.32614/rj-2019-012

Fisher, Z., Bollen, K., & Gates, K. (2019). A Limited Information Estimator for Dynamic Factor Models. Multivariate Behavioral Research, 54(2), 246-263. https://doi.org/10.1080/00273171.2018.1519406

Schneider, J., & Brick, T. (2019). plsR: Partial Least Squares Analysis for Dummies. .

Jenkins, A., Fredman, S., Le, Y., Sun, X., Brick, T., Skinner, O., & McHale, S. (2019). Prospective associations between depressive symptoms and marital satisfaction in Black couples. Journal of Family Psychology. https://doi.org/10.1037/fam0000573

Roberts, N., Oravecz, Z., Sprague, B., & Geier, C. (2019). A novel hierarchical later process model: Evaluating latent sources of variation in reaction times of adult daily smokers. Frontiers in Psychiatry, 10(0), 474. https://doi.org/10.3389/fpsyt.2019.00474

Knapp, K., Cleveland, H., Brick, T., & Bunce, S. (2019). Exploring daily processes of addiction: Associations between social experiences and craving among opioid addicts in treatment: Annals of Behavioral Medicine. , 53, S398--S398. https://doi.org/10.1115/DETC2016-59757

Ji, L., Chen, M., Oravecz, Z., Lu, Z., & Chow, S. (2019). A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural Equation Modeling, 1-26. https://doi.org/10.1080/10705511.2019.1623681

Girault, J., Arizmendi, C., Fisher, Z., Urban, C., Piven, J., & Gates, K. (2019). Identifying Age-Related Functional Connectivity Features Across Different Levels of Spatial Resolution: An Application of Multi-Scale GIMME: Brain Initiative. .

Lu, Z., Chow, S., Ram, N., & Cole, P. (2019). Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data. Psychometrika. https://doi.org/10.1007/s11336-019-09664-7

Hepworth, A., Brick, T., & Small, M. (2019). Exploring Parents’ Satisfaction with Infant and Toddler Feeding Information: A Repeated-Measures Analysis of Information Need and Acquisition Characteristics (P17-006-19). Current developments in nutrition, 3(0), nzz038--P17. https://doi.org/10.1093/cdn/nzz038.P17-006-19

Ji, L., Chow, S., Crosby, B., & Teti, D. (2019). Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive Model. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2019.1697863

Li, Y., Ji, L., Oravecz, Z., Hunter, M., & Chow, S. (2019). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling. , 305-341. https://doi.org/10.5281/zenodo.3298841

You, D., Hunter, M., Chen, M., & Chow, S. (2019). A Diagnostic Procedure for Detecting Outliers in Linear State–Space Models. Multivariate Behavioral Research, 231-255. https://doi.org/10.1080/00273171.2019.1627659