Tucker2 Hierarchical Classes Analysis

Autor/inn/en	Ceulemans, Eva; Van Mechelen, Iven
Titel	Tucker2 Hierarchical Classes Analysis
Quelle	In: Psychometrika, 69 (2004) 3, S.375-399 (25 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/BF02295642
Schlagwörter	Classification; Simulation; Mathematical Models; Psychometrics; Data Analysis; Psychological Patterns + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Simulation program; Simulationsprogramm; Mathematical model; Mathematisches Modell; Psychometry; Psychometrie; Auswertung
Abstract	This paper presents a new hierarchical classes model, called Tucker2-HICLAS, for binary three-way three-mode data. As any three-way hierarchical classes model, the Tucker2-HICLAS model includes a representation of the association relation among the three modes and a hierarchical classification of the elements of each mode. A distinctive feature of the Tucker2-HICLAS model, being closely related to the Tucker3-HICLAS model (Ceulemans, Van Mechelen & Leenen, 2003), is that one of the three modes is minimally reduced and, hence, that the differences among the association patterns of the elements of this mode are maximally retained in the model. Moreover, as compared to Tucker3-HICLAS, Tucker2-HICLAS implies three rather than four different types of parameters and as such is simpler to interpret. Two types of Tucker2-HICLAS models are distinguished: a disjunctive and a conjunctive type. An algorithm for fitting the Tucker2-HICLAS model is described and evaluated in a simulation study. The model is illustrated with longitudinal data on interpersonal emotions. (Author).
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Update	2017/4/10