title: Three-way component analysis: principles and illustrative application.
abstract: Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for example, when data are collected on individuals, in different settings, and on different measures. Such techniques summarize all information in a 3-way data set by summarizing, for each way of the 3-way data set, the associated entities through a few components and describing the relations between these components. In this article, 3-mode principal components analysis is described at an elementary level. Guidance is given concerning the choices to be made in each step of the process of analyzing 3-way data by this technique. The complete process is illustrated with a detailed description of the analysis of an empirical 3-way data set.
authors: Heymans Institute, University of Groningen, Groningen, The Netherlands. University of Leuven, Leuven, Belgium. h.a.l.kiers@ppsw.rug.nl
authors: H A
authors: HA
authors: Kiers
authors: I
authors: I
authors: Van Mechelen
mesh_terms: D000704:Analysis of Variance; D003627:Data Interpretation, Statistical; D005163:Factor Analysis, Statistical; D006801:Humans; D015233:Models, Statistical