Hierarchical relations among three-way methods

Research output: Contribution to journalArticleAcademicpeer-review

110 Citations (Scopus)

Abstract

A number of methods for the analysis of three-way data are described and shown to be variants of principal components analysis (PCA) of the two-way supermatrix in which each two-way slice is "strung out" into a column vector. The methods are shown to form a hierarchy such that each method is a constrained variant of its predecessor. A strategy is suggested to determine which of the methods yields the most useful description of a given three-way data set.

Original languageEnglish
Pages (from-to)449-470
Number of pages22
JournalPsychometrika
Volume56
Issue number3
DOIs
Publication statusPublished - Sep-1991

Keywords

  • 3-WAY DATA
  • LONGITUDINAL DATA
  • PRINCIPAL COMPONENTS ANALYSIS
  • PRINCIPAL COMPONENT ANALYSIS
  • VARIABLES

Cite this