Our Lab for Big Data Methodology aims to develop better statistical methods and software in the areas of education, health, management and psychology. Our most recent research involves the development of new methods for social network and big data analysis. Particularly, we have contributed to the area of Bayesian methods, Network analysis, Big data analysis, Structural equation modeling, Longitudinal data analysis, Mediation analysis, and Statistical computing and programming.
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)
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.
Liu, H.* & Zhang, Z. (2021). Birds of a Feather Flock Together and Opposites Attract: The Nonlinear Relationship Between Personality and Friendship, Journal of Behavioral Data Science 1(1), 34-52.
Liu, H.*, Jin, I.-H., Zhang, Z., & Yuan, Y. (2021). Social network mediation analysis: A latent space approach. Psychometrika, 86(1), 272-298.
Che, C.*, Jin, I.-K., & Zhang, Z. (2021). Network Mediation Analysis Using Model-based Eigenvalue Decomposition. Structural Equation Modeling, 28(1), 148-161.
Kuang, Y.*, Zhang, Z., Duan, B., & Zhang, P. (2020). Fuzzy Cognitive Maps-based Switched-Mode Power Supply Design Assistant System. IEEE Access, 8, 183014-183024.
Tong, X.*, & Zhang, Z. (2020). Robust Bayesian approaches in growth curve modeling: Using Student's t distributions versus semiparametric methods. Structural Equation Modeling, 27(4), 544-560.
Qu, W.*, Liu, H.*, & Zhang, Z. (2020). A Method of Generating Multivariate Non-normal Random Numbers with Desired Multivariate Skewness and Kurtosis. Behavior Research Methods, 52, 939–946.