Statnote 28: Canonical Variate Analysis (CVA)

Richard Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

The pattern of correlation between two sets of variables can be tested using canonical variate analysis (CVA). CVA, like principal components analysis (PCA) and factor analysis (FA) (Statnote 27, Hilton & Armstrong, 2011b), is a multivariate analysis Essentially, as in PCA/FA, the objective is to determine whether the correlations between two sets of variables can be explained by a smaller number of ‘axes of correlation’ or ‘canonical roots’.
Original languageEnglish
Pages39-41
Number of pages3
Volume13
Specialist publicationMicrobiologist
Publication statusPublished - Mar 2012

Keywords

  • canonical correlation

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