Model based clustering of large data sets: tracing the development of spelling ability

DOI10.1007/BF02295648zbMath1306.62429MaRDI QIDQ2260003

Herbert Hoijtink, Annelise Notenboom

Publication date: 5 March 2015

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

spellingBayesian computational statisticsmodel based clusteringlatent class analysisdevelopmental stagesdata expunction

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (3)

Divisive latent class modeling as a density estimation method for categorical data ⋮ Model based clustering of large data sets: tracing the development of spelling ability ⋮ Market segmentation using brand strategy research: Bayesian inference with respect to mixtures of log-linear models

Uses Software

• BayesDA
• Latent GOLD

Cites Work

• Latent class models for classification
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Factor analysis and AIC
• Posterior predictive \(p\)-values
• Model based clustering of large data sets: tracing the development of spelling ability
• Dealing With Label Switching in Mixture Models
• Bayes Factors
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