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Yan Xia is an Associate Professor in the Department of Educational Psychology at the University of Illinois, Urbana-Champaign. His research focuses on developing advanced statistical methods for analyzing complex data types such as categorical, nonnormal, and missing data, all within the context of behavioral quantitative research. He is particularly interested in integrating machine learning techniques with traditional statistical approaches like propensity score matching and structural equation modeling to enhance causal inference in behavioral research analyses. Dr. Xia's academic journey includes a PhD in Measurement and Statistics from Florida State University in 2016, a Master’s degree in Statistics from the same institution in 2015, and a Bachelor's degree in Psychology from Peking University in 2010. His teaching portfolio includes courses in regression analysis, structural equation modeling, and multivariate analysis. He is committed to training the next generation of researchers in educational psychology and quantitative methods.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.