Associate Professor
Ph.D., University of Virginia

Profile

johnnyzhangrev2011

In general, Zhiyong Zhang is interested in developing and applying statistical methods in the areas of developmental and health research. Methodologically, his research interests include (1) continuous and categorical dynamic factor models, nonlinear time series models, and dynamical systems analysis, (2) linear and nonlinear models for analyzing longitudinal data, and (3) Bayesian methods and statistical computing. Substantively, he is interested in the analysis of intraindividual change and interindividual differences in change of life span development, cognitive aging, and emotion.

 

Recent Publications

* denotes student author

Cheung, R. Y. M.*, Cummings, E. M., Zhang, Z., & Davies, P. (in press) Trivariate Modeling of Interparental Conflict and Adolescent Emotional Security: An Examination of Mother-Father-Child Dynamics. Journal of Youth and Adolescence

Zhang, Z. & Yuan, K.-H. (in press). Robust Coefficients Alpha and Omega and Confidence Intervals with Outlying Observations and Missing Data: Methods and Software. Educational and Psychological Measurement.

Liu, H.*, Zhang, Z., & Grimm, K. J. (in press). Comparison of Inverse-Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis. Structural Equation Modeling.

Zhang, Z. (in press). Monte Carlo Based Statistical Power Analysis for Mediation Models: Methods and Software. Behavior Research Methods.

Bernard, K., Peloso, E., Laurenceau, J-P, Zhang, Z., & Dozier, M. (2015). Examining Change in Cortisol Patterns During the 10-week Transition to a New Childcare Setting. Child Development, 86(2), 456–71.

Merluzzi, T.V., Philip, E.J., Zhang, Z., & Sullivan, C. (2015). Perceived discrimination, coping, and quality of life for African-American and Caucasian persons with cancer. Cultural Diversity and Ethnic Minority Psychology, 21(3), 337-344.

Serang, S.*, Zhang, Z., Helm, J., Steele, J. S., & Grimm, K. J. (2015). Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models. Structural Equation Modeling, 22(2), 202–215.

Yuan, K.-H., Tong, X.*, & Zhang, Z. (2015). Bias and Efficiency for SEM with Missing Data and Auxiliary Variables: Two-Stage Robust Method versus Two-Stage ML. Structural Equation Modeling , 22(2), 178–192.

Zhang, Z., Hamagami, F., Grimm, K. J., & McArdle, J. J. (2015). Using R Package RAMpath for Tracing SEM Path Diagrams and Conducting Complex Longitudinal Data Analysis. Structural Equation Modeling, 22(1), 132–147.

Hardy, S. A., Zhang, Z., Skalski, J. E., Melling, B. S., & Brinton, C. T. (2014). Daily religious involvement, spirituality, and moral emotions. Psychology of Religion and Spirituality, 6(4), 338-348.

Tong, X.*, Zhang, Z., & Yuan, K.-H. (2014). Evaluation of Test Statistics for Robust Structural Equation Modeling with Nonnormal Missing Data. Structural Equation Modeling, 21, 553–565.

Zhang, Z. (2014). WebBUGS: Conducting Bayesian Analysis online. Journal of Statistical Software, 61(7), 1-30.

Song, H., & Zhang, Z. (2014). Analyzing Multiple Multivariate Time Series Data Using Multilevel Dynamic Factor Models. Multivariate Behavioral Research, 49(1), 67-77.

Lu, Z.*, & Zhang, Z. (2014). Robust Growth Mixture Models with Non-ignorable Missingness: Models, Estimation, Selection, and Application. Computational Statistics and Data Analysis, 71, 220-240.

 

View Curriculum Vitae (PDF)

Contact Information
Office: 118-B Haggar Hall
Notre Dame, IN 46556
Phone: (574) 631-2902
Email: ZhiyongZhang@nd.edu
http://nd.edu/~zzhang4