Model selection information criteria in latent class models with missing data and contingency question

DOI10.1080/00949655.2012.698621zbMath1453.62546OpenAlexW2148275794MaRDI QIDQ5219215

Ting Hsiang Lin

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.698621

zbMATH Keywords

model selectioninformation criterianon-responselatent class analysiscontingency question

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15) Missing data (62D10)

Related Items (1)

Model selection criteria for dual-inflated data

Cites Work

• Latent class models for classification
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Estimating the dimension of a model
• Evaluating latent class analysis models in qualitative phenotype identification
• A comparison of model selection indices for nested latent class models
• Regression and time series model selection in small samples
• Latent Class Model Diagnosis
• Exploratory latent structure analysis using both identifiable and unidentifiable models
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