Lijin Zhang

Welcome to my website! I am a Ph.D. Candidate in Developmental and Psychological Science at Stanford University, advised by Professors Ben Domingue and Jason Yeatman.

Prior to Stanford, I have worked on Bayesian analysis, structural equation modeling, and network analysis with Professors Junhao Pan, Edward Ip, Xinya Liang, and Johnny Zhang.

Research Interests in Psychometrics

Evaluating and improving the generalizability of Structural Equation Models.

Identifying model violations in factor analysis, primarily using the Bayesian Lasso.

Other statistical techniques for psychological and educational research, such as network analysis and item response models.


lijinzhang [at] stanford [dot] edu

Google Scholar | GitHub | CV


05/2024 I completed the qualifying paper defense and have advanced to candidacy.

05/2024 Our paper “Heterogeneity of item-treatment interactions masks complexity and generalizability in randomized controlled trials” is accepted by Journal of Research on Educational Effectiveness.

11/2023 Our paper “Testing Informative Hypotheses in Factor Analysis Models using Bayes Factors” is accepted by Psychological Methods.

07/2023 Our paper “Variety and Mainstays of the R Developer Community” is accepted by R Journal.

04/2023 Our paper “Bayesian Regularization in Multiple-Indicators Multiple-Causes Models” is accepted by Psychological Methods.