Canonical analysis of contingency tables with linear constraints

Ulf Böckenholt*, Ingo Böcknholt

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

A generalized least squares approach is presented for incorporating linear constraints on the standardized row and column scores obtained from a canonical analysis of a contingency table. The method is easy to implement and may simplify considerably the interpretation of a data matrix. The approach is compared to a restricted maximum likelihood procedure.

Original languageEnglish (US)
Pages (from-to)633-639
Number of pages7
JournalPsychometrika
Volume55
Issue number4
DOIs
StatePublished - Dec 1 1990

Keywords

  • canonical analysis
  • restricted maximum likelihood
  • singular value decomposition

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Mathematics

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