I’m a doctoral student of Educational Measurement and Statistics, mainly focusing on Bayesian latent variable modeling, Item response theory modeling, diagnostic modeling. I’m also interested in machine learning and data science.
My research tries to help other practitioners understand their data and correctly interpret, and to wisely use the powerful tools of statistics.
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Ph.D. in Educational Measurement & Statistics, 2019 - Present
University of Iowa
M.S. in Educational Psychology, 2015 - 2019
University of Kansas
B.S. in Applied Psychology, 2009 - 2013
Soochow University, China
In this study, we proposed a new method of PPMC based on comparing posterior predictive distributions of a hypothesized and saturated BCFA model.
This study proposed efficient Gibbs sampling algorithms with different types of shrinkage priors for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model.