Zhiyong (Johnny) Zhang
Ph.D., University of Virginia
118B Haggar Hall
Notre Dame, IN 46556
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.
* denotes student author
Tong, X.*, & Zhang, Z. (In press). Outlying Observation Diagnostics in Growth Curve Modeling. Multivariate Behavioral Research.
Liu, H.*, & Zhang, Z. (In press). Logistic Regression with Misclassification in Binary Outcome Variables: A Method and Software. Behaviormetrika.
Ke, Z.*, & Zhang, Z. (In press). Testing Autocorrelation and Partial Autocorrelation: Asymptotic Methods versus Resampling Techniques. British Journal of Mathematical and Statistical Psychology.
Zhang, Z., Jiang, K., Liu, H.*, & Oh, I.-S. (In press). Bayesian meta-analysis of correlation coefficients through power prior. Communications in Statistics – Theory and Methods.
Cain, M.*, Zhang, Z., & Yuan, K. (In press). Univariate and Multivariate Skewness and Kurtosis for Measuring Nonnormality: Prevalence, Influence and Estimation. Behavior Research Methods.
Zhang, Z. & Wang, L. (2017). Advanced statistics using R. [https://advstats.psychstat.org]. Granger, IN: ISDSA Press. ISBN: 978-1-946728-01-2.
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.
Cheung, R. Y. M.*, Cummings, E. M., Zhang, Z., & Davies, P. (2016) Trivariate Modeling of Interparental Conflict and Adolescent Emotional Security: An Examination of Mother-Father-Child Dynamics. Journal of Youth and Adolescence, 45(11), 2336–2352.
Liu, H.*, Zhang, Z., & Grimm, K. J. (2016). Comparison of Inverse-Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis. Structural Equation Modeling, 23 (3), 354-367.
Zhang, Z. (2016). Modeling Error Distributions of Growth Curve Models through Bayesian Methods. Behavior Research Methods, 48(2), 427-444.
Zhang, Z. & Yuan, K.-H. (2016). Robust Coefficients Alpha and Omega and Confidence Intervals with Outlying Observations and Missing Data: Methods and Software. Educational and Psychological Measurement, 76(3), 387–411.