4 papers
Sparse Latent Class Analysis: Post-Estimation Refinement via Item-level Pseudo-Likelihood
Yuxuan Xu, Lea Kaufmann, Yunxiao Chen +2
Latent Class Analysis (LCA) is widely used to identify unobserved subgroups in social and behavioural sciences. A long-standing challenge for LCA is the interpretability of the lat…
Exploratory Hierarchical Factor Analysis with an Application to Psychological Measurement
Jiawei Qiao, Yunxiao Chen, Zhiliang Ying
Hierarchical factor models, which include the bifactor model as a special case, are useful in social and behavioural sciences for measuring hierarchically structured constructs. Sp…
Exact Exploratory Bi-factor Analysis: A Constraint-based Optimisation Approach
Jiawei Qiao, Yunxiao Chen, Zhiliang Ying
Bi-factor analysis is a form of confirmatory factor analysis widely used in psychological and educational measurement. The use of a bi-factor model requires the specification of an…
Dynamic Factor Analysis of High-dimensional Recurrent Events
Fangyi Chen, Yunxiao Chen, Zhiliang Ying +1
Recurrent event time data arise in many studies, including biomedicine, public health, marketing, and social media analysis. High-dimensional recurrent event data involving many ev…