3 papers
stat.AP2025
Reducing Differential Item Functioning via Process Data
Ling Chen, Susu Zhang, Jingchen Liu
Testing fairness is a major concern in psychometric and educational research. A typical approach for ensuring testing fairness is through differential item functioning (DIF) analys…
stat.ME2025
Degree-heterogeneous Latent Class Analysis for High-dimensional Discrete Data
Zhongyuan Lyu, Ling Chen, Yuqi Gu
The latent class model is a widely used mixture model for multivariate discrete data. Besides the existence of qualitatively heterogeneous latent classes, real data often exhibit a…
stat.ME2024
Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
Ling Chen, Chengzhu Huang, Yuqi Gu
This work focuses on the mixed membership models for multivariate categorical data widely used for analyzing survey responses and population genetics data. These grade of membershi…