معرفی
Guangjian Zhang is an Associate Professor at the University of Notre Dame, affiliated with the Psychometrics and Dynamic Analysis (PDA) Lab. His primary research focuses on developing and improving quantitative methods in the behavioral and social sciences, particularly in factor analysis, structural equation modeling, time series analysis, and longitudinal data analysis. He holds a Ph.D. in Psychology from Ohio State University (2006) and an M.S. in Statistics from the same institution (2004), along with an M.Ed. in Psychology from Beijing University (1999) and a B. Med. from Tianjin Medical University (1994).
- Education:
- Ph.D. in Psychology, Ohio State University, 2006
- M.S. in Statistics, Ohio State University, 2004
- M.Ed. in Psychology, Beijing University, 1999
- B. Med., Tianjin Medical University, 1994
His research interests emphasize enhancing measurement tools like questionnaires, with a focus on methodological advancements in psychometrics. His work spans dynamic factor analysis, multivariate time series, and computational efficiency in statistical methods. Notable contributions include the development of the EFAutilities package and bootstrap procedures for factor analysis validation. He teaches courses on statistics and advanced methodology in behavioral and social sciences.
Dr. Zhang has published extensively on topics such as factor rotation, bootstrap standard errors, and longitudinal modeling. His research addresses challenges in psychological dynamics, clinical outcomes, and statistical methodologies, reflecting a commitment to bridging theoretical and applied quantitative psychology.
