Models for ordinal hierarchical classes analysis

DOI10.1007/BF02294441zbMath1293.62248OpenAlexW2020344318MaRDI QIDQ2511846

Paul De Boeck, Iven van Mechelen, Iwin Leenen

Publication date: 6 August 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294441

zbMATH Keywords

simulationbinary datahierarchical classesscalogram

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Statistical ranking and selection procedures (62F07) Applications of statistics to psychology (62P15)

Related Items (6)

Bayesian hierarchical classes analysis ⋮ Bridges between deterministic and probabilistic models for binary data ⋮ Tucker3 hierarchical classes analysis ⋮ Tucker2 hierarchical classes analysis ⋮ A conjunctive parallelogram model for Pick any/\(n\) data ⋮ A unifying model involving a categorical and/or dimensional reduction for multimode data

Uses Software

• BMDP

Cites Work

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• Probability matrix decomposition models
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• Psychometric latent response models
• Matching relations and the dimensional structure of social choices
• On realizable biorders and the biorder dimension of a relation
• On finding the bidimension of a relation
• A generic disjunctive/conjunctive decomposition model for \(n\)-ary relations
• An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models
• An evaluation of two algorithms for hierarchical classes analysis.
• INDCLAS: a three-way hierarchical classes model
• A conjunctive parallelogram model for Pick any/\(n\) data
• Hierarchical classes: model and data analysis

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