Guangjian Zhang
Assistant Professor
Ph.D., The Ohio State University
Profile
Guangjian Zhang's research interests include dynamic factor analysis, longitudinal analysis, structural equation modeling, and statistical computing. His current research involves using resampling based methods like the bootstrap to make valid inference when assumptions of statistical procedures are violated.
Recent Publications
Zhang, G. & Browne, M. W. (In press) Design and Analysis of incomplete Multitrait-Multimethod Studies from the Multiplicative Perspective. Psychometrika.
Chow, S., & Zhang, G. Continuous time modeling of irregularly spaced panel data using a cubic spline model. (Accepted, Statistica Neerlandica)
Browne, M. W. & Zhang, G. (2007a). Developments in the Factor Analysis of
Individual Time Series. In R. C. MacCallum & R. Cudeck (Eds.), Factor Analysis at 100: Historical Developments and Future Directions (pp. 265-291). Mahwah, NJ: Lawrence Erlbaum Associates.
Browne, M. W. & Zhang, G. (2007b). Repeated Time series Models for learning data. In S. M. Boker & Wenger, M. J. (Eds), Data Analytic Techniques for Dynamical Systems in the Social and Behavioral Sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
Zhang, G. & Browne, M. W. (2006) Bootstrap fit testing, confidence intervals, and standard error estimation in the factor analysis of polychoric correlation matrices. Behaviormetrika, 33, 61-74.
View Curriculum Vitae (PDF)
Contact Information
Office: 105 Haggar Hall
Notre Dame, IN 46556
Phone: 574-631-3751
Email: Guangjian.Zhang.106@nd.edu