Title: Three-way hierarchical classes: A comparison of the INDCLAS and Tucker3-HICLAS models
Authors: Leenen, Iwin ×
Ceulemans, Eva #
Issue Date: 2009
Publisher: University of Windsor, Department of Psychology
Series Title: Applied Multivariate Research vol:13 issue:1 pages:43-76
Abstract: Hierarchical classes (HICLAS) models for multi-way multi-mode data constitute
a unique family of classification models in that (a) they simultaneously
induce a hierarchical classification (of the elements) of each mode and (b) they
link the hierarchical classifications together by an association relation that yields
a predicted (or reconstructed) value for each cell in the data array. For the case of
three-way three-mode binary data, the most prominent HICLAS models include
INDCLAS and Tucker3-HICLAS. In this paper, we compare the latter two
models, introducing the underlying theory of both in substantive terms and
showing how a Tucker3-HICLAS analysis may result in a simpler model than that
yielded by INDCLAS, although the former is mathematically more complex than
the latter (which it includes as a special case). We illustrate by two applications: a
study on anger responses in frustrating situations and a case-study on emotions in
interpersonal relations.
ISSN: 1918-1108
VABB publication type: VABB-1
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Methodology of Educational Sciences
× corresponding author
# (joint) last author

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