Johnny Zhang

Concentration
Psychology
Bio

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.

Office
Corbett Family Hall
Phone
574.631.2902
Email
zhiyongzhang@nd.edu
Category
ND PIER Affiliate
IEI Fellows
Education

Ph.D., University of Virginia

Publications

* denotes student author

Cain, M., & Zhang, Z. (accepted). Fit for a Bayesian: An evaluation of PPP and DIC for structural equation modeling.Structural Equation Modeling.
Liu, H., Jin, I. K., & Zhang, Z.(accepted). Structural Equation Modeling of Social Networks: Specification, Estimation, and Application. Multivariate Behavioral Research
Mai, Y., Zhang, Z., & Wen, Z. (accepted). Comparing Exploratory Structural Equation Modeling and Existing Approaches for Multiple Regression with Latent Variables. Structural Equation Modeling. https://www.tandfonline.com/eprint/6u84fbxfzJPCGa6eUUgS/full
Yuan, K., Zhang, Z., & Deng, L. (accepted). Fit Indices for Mean Structures with Growth Curve Models. Psychological Methods.
Mai, Y., & Zhang, Z. (2018). Review of Software Packages for Bayesian Multilevel Modeling. Structural Equation Modeling, 25(4), 650–658. http://www.tandfonline.com/eprint/6u84fbxfzJPCGa6eUUgS/full
Cain, M., Zhang, Z., & Bergeman, C. S. (accepted). Time and Other Considerations in Mediation Design. Educational and Psychological Measurement
Ke, Z., & Zhang, Z. (2018). Testing Autocorrelation and Partial Autocorrelation: Asymptotic Methods versus Resampling Techniques. British Journal of Mathematical and Statistical Psychology, 71(1), 96–116.
Tong, X., & Zhang, Z. (2017). Outlying Observation Diagnostics in Growth Curve Modeling. Multivariate Behavioral Research, 52(6), 768–788. http://www.tandfonline.com/eprint/43NdXgKr7Pywnv8SKYie/full
Zhang, Z., Jiang, K., Liu, H., & Oh, I.-S. (2017). Bayesian meta-analysis of correlation coefficients through power prior. Communications in Statistics – Theory and Methods, 46(24)-11988-12007. http://www.tandfonline.com/eprint/avPtpSNV8Y4S5HwZGcc9/full
Cain, M., Zhang, Z., & Yuan, K. (2017). Univariate and Multivariate Skewness and Kurtosis for Measuring Nonnormality: Prevalence, Influence and Estimation. Behavior Research Methods, 49(5), 1716–1735.
Liu, H., & Zhang, Z. (2017). Logistic Regression with Misclassification in Binary Outcome Variables: A Method and Software. Behaviormetrika, 44(2), 447–476.
Yuan, K.-H., Zhang, Z., & Zhao, Y. (2017). Reliable and More Powerful Methods for Power Analysis in Structural Equation Modeling. Structural Equation Modeling, 24(3), 315-330

Johnny Zhang