Zhang, Z., Davis, H. P., Salthouse, T. A., & Tucker-Drob, E. A. (2007). Correlates of individual, and age-related, differences in short-term learning. Learning and Individual Differences, 17(3), 231?C240. Download

Zhang, Z.,  Hamagami, F., Wang, L., Grimm, K. J., & Nesselroade, J. R. (2007). Bayesian analysis of longitudinal data using growth curve models. International Journal of Behavioral Development, 31(4), 374-383.Download

Zhang, Z., & Nesselroade J. R. (2007). Bayesian estimation of categorical dynamic factor models. Multivariate Behavioral Research, 42(4), 729-756. Download

Zhang, Z., Hamaker, E. L., & Nesselroade, J. R. (2008). Comparisons of four methods for estimating dynamic factor models. Structural Equation Modeling, 15(3), 377-402. Download

Zhang, Z.,  McArdle, J. J., Wang, L., & Hamagami, F. (2008). A SAS interface for Bayesian analysis with WinBUGS. Structural Equation Modeling, 15(4), 705?C728. Download NOTE: Some SAS codes were not shown exactly during the final publishing process. Please download the final draft instead of the published one. Final Draft

Wang, L., Zhang, Z., McArdle, J. J., & Salthouse, T. A. (2008). Investigating ceiling effects in longitudinal data analysis. Multivariate Behavioral Research, 43(3), 476?C496. Download

Winter, W. C., Hammond, W. R., Zhang, Z., & Green, N. H. (2009). Measuring circadian advantage in Major League Baseball: A 10-year retrospective study. International. Journal of Sports Physiology and Performance, 4(3) 394-401.

Hamaker, E. L., Zhang, Z., & van der Maas, H. L. J. (2009). Dyads as dynamic systems: Using threshold autoregressive models to study dyadic interactions. Psychometrika, 74(4) 727-745. Download

Zhang, Z., & Wang, L. (2009). Statistical power analysis for growth curve models using SAS. Behavior Research Methods, 41(4), 1083-1094. Download PDF

Wang, L. & Zhang, Z. (2011). Estimating and testing mediation effects with censored data. Structural Equation Modeling, 18(1), 18-34.

Hardy, S. A., White, J., Zhang, Z., &  Ruchty, J.(2011). Parenting and the socialization of religiousness and spirituality. Psychology of Religion and Spirituality, 3(3), 217-230. doi: 10.1037/a0021600. Manuscript

Zhang, Z., & Wang, L. (accepted). A note on the robustness of a full Bayesian method for non-ignorable missing data analysis. Brazilian Journal of Probability and Statistics. Manuscript

Lu, Z., Zhang, Z., & Lubke, G. (2011). Bayesian Inference For Growth Mixture Models With Latent Class Dependent Missing Data. Multivariate Behavioral Research, 46(4), 567-597. Manuscript

Zhang, Z., Lai, K., Lu, Z., & Tong, X. (in press). Bayesian inference and application of robust growth curve models using student??s t distribution. Structural equation modeling. Manuscript

Zhang, Z., Browne, M. W., & Nesselroade, J. R. (2011). Higher?Corder factor invariance and idiographic mapping of constructs to observables. Applied Developmental Sciences, 15(4), 186-200. Manuscript

Yuan, K.-H., & Zhang, Z. (accepted). Structural equation modeling diagnostics using R package semdiag and EQS. Structural Equation Modeling: An Interdisciplinary Journal.

Zhang, Z., McArdle, J. J., & Nesselroade, J. R. (accepted). Growth Rate Models: Emphasizing Growth Rate Analysis through Growth Curve Modeling. Journal of Applied Statistics Manuscript

Yuan, K.-H., & Zhang, Z. (In press). Robust Structural Equation Modeling with Missing Data and Auxiliary Variables. Psychometrika.

Grimm, K. J., Kuhl, A. P., & Zhang, Z. (in press). An illustration of measurement model effects on studying change. Structural Equation Modeling.

Zhang, Z., & Wang, L. (2008). Methods for evaluating mediation effects: Rationale and comparison. In K. Shigemasu, A. Okada, T. Imaizumi, & T. Hoshino (Eds.), New trends in psychometrics(pp. 585-594). Tokyo: Universal Academy Press.Download

Hamagami, F., Zhang, Z., & McArdle, J. J. (2009). Modeling latent difference score models using Bayesian algorithms. In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds), Statistical methods for modeling human dynamics: An interdisciplinary dialogue (pp. 319-348). New Jersey: Lawrence Erlbaum Associates.

Wang, L., Zhang, Z., & Estabrook, R. (2009). Longitudinal mediation analysis of training intervention effects. In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds), Statistical methods for modeling human dynamics: An interdisciplinary dialogue(pp. 349-380). New Jersey: Lawrence Erlbaum Associates.

Zhang, Z. & Yuang, K.-H. (2011). semdiag: An R package for structural equation modeling diagnostics. Retrievable from http://www.r-project.org.

Zhang, Z., & Wang, L. (2011). bmem: An R packages for mediation analysis with ignorable and non-ignorable missing data. Retrievable from http://www.r-project.org.

Zhang, Z., & Wang, L. (2009). SAS macros for power analysis of growth curve models, Version 1.0. Retrievable from http://saspower.psychstat.org

Zhang, Z., & Wang, L. (2008). BAUW as an OpenBUGS plugin, Version 1.0. Retrievable from http://bauw.psychstat.org

Zhang, Z., & Wang, L. (2007). MedCI: Mediation Confidence Intervals, Version 3.0. Retrievable from http://medci.psychstat.org

Zhang, Z., & Wang, L. (2006). BAUW: Bayesian Analysis Using WinBUGS, Version 1.0. Retrievable from http://bauw.psychstat.org Citations

Zhang, Z. (2006). LDSM: A C++ program for generating codes for analyzing latent difference score model in Mplus. Retrievable from http://www.psychstat.org/us/article.php/38

Zhang, Z., & Nesselroade, J. R. (2005). Selection: A C++ program for analyzing selection effects. Retrievable from http://www.psychstat.org/us/article.php/64

Zhang, Z., & Nesselroade, J. R. (2004). DFA: Dynamic Factor Analysis, Version 2.0. Retrievable from http://dfa.psychstat.org