Statnote 28: Canonical Variate Analysis (CVA)

Richard Armstrong

Statnote 28: Canonical Variate Analysis (CVA)

Richard Armstrong

Research output: Contribution to specialist publication or newspaper › Article

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 language	English
Pages	39-41
Number of pages	3
Volume	13
Specialist publication	Microbiologist
Publication status	Published - Mar 2012

Keywords

canonical correlation

Cite this

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title = "Statnote 28: Canonical Variate Analysis (CVA)",

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 {\textquoteleft}axes of correlation{\textquoteright} or {\textquoteleft}canonical roots{\textquoteright}. ",

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JO - Microbiologist

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ER -

Statnote 28: Canonical Variate Analysis (CVA)

Abstract

Keywords

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