Consistency of cluster analysis for cognitive diagnosis: the reduced reparameterized unified model and the general diagnostic model

DOI10.1007/s11336-016-9499-8zbMath1345.62141OpenAlexW2406282749WikidataQ39733233 ScholiaQ39733233MaRDI QIDQ316706

Hans-Friedrich Köhn, Chia-Yi Chiu

Publication date: 27 September 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-016-9499-8

zbMATH Keywords

consistencycluster analysisdiagnostic classification modelcognitive diagnosisgeneral diagnostic classification modelsgeneral diagnostic model (GDM)reduced reparameterized unified model (reduced RUM)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Diagnostics, and linear inference and regression (62J20) Applications of statistics to psychology (62P15)

Uses Software

• CRAN
• Mplus
• BUGS
• Latent GOLD
• CDM
• ACTCD

Cites Work

• The reduced RUM as a logit model: parameterization and constraints
• The generalized DINA model framework
• Defining a family of cognitive diagnosis models using log-linear models with latent variables
• Cluster analysis for cognitive diagnosis: theory and applications
• Hierarchical clustering schemes
• Hierarchical diagnostic classification models: a family of models for estimating and testing attribute hierarchies
• The <scp>DINA</scp> model as a constrained general diagnostic model: Two variants of a model equivalency
• 31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models
• 31B Some Notes on Models for Cognitively Based Skills Diagnosis
• Unnamed Item

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