Zhiyong (Johnny) Zhang

Quantitative Area Director

Fellow at Institute for Educational Initiatives

E438 Corbett Family Hall
Notre Dame, IN 46556
+1 574-631-2902

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Lab for Big Data Methodology

Primary Area: Quantitative

Research and teaching interests

Bayesian methods, Network analysis, Big data analysis, Structural equation modeling, Longitudinal data analysis, Mediation analysis, Statistical computing and programming


Dr. Johnny Zhang 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. Dr. Zhang is a fellow of the American Psychological Association and an elected member of the Society of Multivariate Experimental Psychology. Dr. Zhang is the Editor of the Journal of Behavioral Data Science and an Associate Editor of Multivariate Behavioral Research.


Ph.D., University of Virginia

Representative Publications

Zhang, Z. & Zhang, D. (2021). "What is Data Science? An Operational Definition based on Text Mining of Data Science Curricula." Journal of Behavioral Data Science 1(1), 1-16. https://doi.org/10.35566/jbds/v1n1/p1

Zhang, Z., & Yuan, K.-H. (Eds.). (2018). "Practical statistical power analysis using Webpower and R." Granger, IN: ISDSA Press

Cain, M. K., 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. https://doi.org/10.3758/s13428-016-0814-1

Zhang, Z., Lai, K., Lu, Z., & Tong, X. (2013). "Bayesian inference and application of robust growth curve models using Student’s t distribution." Structural Equation Modeling, 20(1), 47–78. https://doi.org/10.1080/10705511.2013.742382

Zhang, Z., & Wang, L. (2013). "Methods for mediation analysis with missing data." Psychometrika, 78(1), 154–184. https://doi.org/10.1007/s11336-012-9301-5