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Psychstat

PUBLICATIONS

 

  • 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 .

 

  • 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(2), 231-240.

 

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

 

  • Zhang, Z., Hamaker, E. L., & Nesselroade, J. R. (in press). Comparisons of Four Methods for Estimating Dynamic Factor Models. Structural Equation Modeling, 13(3), 377-402.

 

  • Zhang, Z., McArdle, J. J., Wang, L., & Hamagami, F. (in press). A SAS interface for Bayesian analysis with WinBUGS. Structural Equation Modeling: Teacher’s Corner.

 

  • Wang, L., Zhang, Z., McArdle, J. J., & Salthouse, T. A. (accepted). Investigating the ceiling effects in longitudinal data analysis, Multivariate Behavioral Research.

 

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

 

  • Hamaker, E. L., Zhang, Z., & Han L. J. van der Maas(under review). An alternative estimation procedure for the equations of marriage.

 

  • Hamagami, F., Zhang, Z., & McArdle, J. J. (under revision). 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. New Jersey: Lawrence Erlbaum Associates.

 

  • Wang, L., Zhang, Z., & Estabrook, R. (under review). 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. New Jersey: Lawrence Erlbaum Associates.