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.
Download my CV.
Ph.D. in Educational Measurement & Statistics, 2019 - 2022
University of Iowa
M.S. in Educational Psychology, 2015 - 2019
University of Kansas
B.S. in Applied Psychology, 2009 - 2013
Soochow University, China
90%
100%
10%
Responsibilities include:
In this study, we proposed a new method of PPMC based on comparing posterior predictive distributions of a hypothesized and saturated BCFA model.