Title: Hierarchical classes modeling of rating data
Authors: Van Mechelen, Iven ×
Lombardi, Luigi
Ceulemans, Eva #
Issue Date: Dec-2007
Publisher: Psychometric Society
Series Title: Psychometrika vol:72 issue:4 pages:475-488
Abstract: Hierarchical classes (HICLAS) models constitute a distinct family of structural models for N-way N-mode data. All members of the family include N simultaneous and linked classifications of the elements of the N modes implied by the data; those classifications are organized in terms of hierarchical, if-then-type relations. Moreover, the models are accompanied by comprehensive, insightful graphical representations. Up to now, the hierarchical classes family has been limited to dichotomous or dichotomized data. In the present paper we propose a novel extension of the family to two-way two-mode rating data (HICLAS-R). The HICLAS-R model preserves the representation of simultaneous and linked classifications as well as of generalized if-then-type relations, and keeps being accompanied by a comprehensive graphical representation. It is shown to bear interesting relationships with classical real-valued two-way component analysis and with methods of optimal scaling.
ISSN: 0033-3123
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Onderzoeksgroep hogere cognitie en individuele verschillen (-)
Quantitative Psychology and Individual Differences
Methodology of Educational Sciences
× corresponding author
# (joint) last author

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