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. I am also a Ph.D. Scholar at Stanford Data Science, with my research supported by the SDS Fellowship.
I was trained in Statistics at Stanford University (M.S. in Stats, expected 2026) and in Psychology at Sun Yat-sen University (M.S. and B.S. in Psych). 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.
- Bayesian Regularization, Mixture Modeling, and Longitudinal Data Analysis.
Contact
lijinzhang [at] stanford [dot] eduGoogle Scholar | GitHub | CV
News
- [02/2025] Our paper on Bayesian Growth Curve Modeling is accepted by Multivariate Behavioral Research [Impact Factor: 5.3, Q1].
- [02/2025] Our paper on Polytomous Explanatory Item Response Models is accepted by Behavior Research Methods [IF: 7.2, Q1].
- [11/2024] I received the Collaborative Learning Fund Award ($1,050) from Stanford GSE for a joint proposal with Shuman.
- [10/2024] I was admitted to the M.S. in Statistics Program at Stanford.
- [10/2024] Our paper on Bayesian Structural Equation Modeling is accepted by International Journal of Psychology [IF: 3.3, Q1].
- [08/2024] I received the Stanford Data Science Fellowship, an honor given to ~15 recipients annually across the campus, which will support my stipend and research (~$100,000) for the next two years.
- [08/2024] Our paper on Anesthesiologists’ Adoption of Virtual Reality is accepted by Journal of Clinical Anesthesia [IF: 5.0, Q1].
- [05/2024] I completed the qualifying paper defense and have advanced to candidacy.
- [11/2023] Our paper on Bayes Factors in Factor Analysis Models is accepted by Psychological Methods [IF: 11.5, Q1].
- [07/2023] Our paper on CRAN R Repository is accepted by R Journal [IF: 5.2, Q1].
- [04/2023] Our paper on Bayesian Regularized Structural Equation Modeling is accepted by Psychological Methods [IF: 11.5, Q1].
