Johnny Zhang
Johnny Zhang, Ph.D. is a professor of quantitative psychology at the University of Notre Dame. He is the director of the Lab for Big Data Methodology at Notre Dame. His research aims to develop better statistical methods and software in the areas of education, health, management, and psychology. He has conducted research in Bayesian methods, big data analysis, Structural equation modeling, longitudinal data analysis, mediation analysis, and statistical computing and programming. His most recent research involves the development of new methods for social network and text analysis. Zhang is a fellow of the American Psychological Association and an elected member of the Society of Multivariate Experimental Psychology. Zhang is the editor of the Journal of Behavioral Data Science and an associate editor of multivariate behavioral research.
- Ph.D., University of Virginia
* 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
