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6 papers · 1 filter
Variational Estimation for Multidimensional Generalized Partial Credit Model
Chengyu Cui, Chun Wang, Gongjun Xu
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichoto…
A Note on Improving Variational Estimation for Multidimensional Item Response Theory
Chenchen Ma, Jing Ouyang, Chun Wang +1
Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimens…
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses
Mengqi Lin, Gongjun Xu
Cognitive Diagnosis Models (CDMs) provide a powerful statistical and psychometric tool for researchers and practitioners to learn fine-grained diagnostic information about responde…
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
Chenchen Ma, Gongjun Xu
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in modern educational, psychological, social and biological sciences.…
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
Zhenghao Zeng, Yuqi Gu, Gongjun Xu
Latent class models are powerful statistical modeling tools widely used in psychological, behavioral, and social sciences. In the modern era of data science, researchers often have…
Identifiability of Latent Class Models with Covariates
Jing Ouyang, Gongjun Xu
Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been full…