Zhiyong (Johnny) Zhang
Professor of PsychologyFellow at Institute for Educational Initiatives
- Office
- E438 Corbett Family Hall
Notre Dame, IN 46556 - Phone
- +1 574-631-2902
- zzhang4@nd.edu
Research and teaching interests
Bayesian methods, Network analysis, Big data analysis, Structural equation modeling, Longitudinal data analysis, Mediation analysis, Statistical computing and programming
Biography
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.
Education
Ph.D., University of Virginia
Approach to Mentoring
My goal of mentoring is to provide undergraduate and graduate students in my lab with opportunities to develop technical and professional skills to benefit their long-term careers. I work hard to understand and identify students' individual needs and strive to meet these needs. I treat students with respect and accept differing opinions to create a positive environment for all students with diverse backgrounds to thrive.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