Research
Research
Statistical Analysis of Large-scale Item Response Data under Measurement Non-invariance: A Statistically Consistent Method and Its Application to PISA 2022
Jing Ouyang, Yunxiao Chen, Chengcheng Li and Gongjun Xu
arXiv preprint (2025)
[arxiv]
Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness.
Jing Ouyang*, Chengyu Cui*, Kean Ming Tan and Gongjun Xu
arXiv preprint (2024)
[arxiv]
Jing Ouyang, Kean Ming Tan and Gongjun Xu (2023).
Journal of Machine Learning Research, 24(296):1−61.
Yunxiao Chen*, Chengcheng Li*, Jing Ouyang* and Gongjun Xu* (2023).
Journal of Machine Learning Research, 24(95):1−66.
A note on improving variational estimation for multidimensional item response theory.
Chenchen Ma*, Jing Ouyang*, Chun Wang* and Gongjun Xu* (2024).
Psychometrika, 89, 172–204.
DIF statistical inference without knowing anchoring items.
Yunxiao Chen*, Chengcheng Li*, Jing Ouyang* and Gongjun Xu* (2023).
Psychometrika, 88, 1097–1122.
Predicting team function using bayesian and cognitive diagnostic modeling approaches.
Jeong-Hin Chi, Jing Ouyang, Robin Fowler, Gongjun Xu and Becky Matz (2023).
Annual Conference of the American Society for Engineering Education.
[link]
Chenchen Ma*, Jing Ouyang* and Gongjun Xu* (2023).
Psychometrika, 88, 175–207.
Jing Ouyang and Gongjun Xu (2022).
Psychometrika, 87, 1343–1360.
*: alphabetical authorship / equal contribution