Description: Bayesian Longitudinal Data Analysis
Supported by the Institute of Education Sciences , we are conducting a five-day training on Bayesian Longitudinal Data Modeling in Education Sciences in the summer of 2025, 2026 and 2027 at the University of Virginia, UCLA, and Florida State University, respectively.
The purpose of this training program is to fill the existing gap in advanced Bayesian skills among education researchers, thereby advancing the field and enhancing educational outcomes for the next generation. Through a well-designed training plan, the program will introduce a range of Bayesian methods, including growth mixture models, high-dimensional variable selection, and techniques for handling non-normal and missing data. The training is committed to creating an inclusive and active learning environme
Dr. Tong is an associate professor at the University of Virginia. Her research focuses on developing and applying statistical methods in the areas of developmental and health studies. Methodologically, she is interested in Bayesian methodology, growth curve modeling, and robust structural equation modeling with nonnormal and missing data. Substantively, she is interested in analyzing the longitudinal development of cognitive ability and achievement skills.