Applications of Multivariate Statistics: A Bibliography of Canonical Correlation Analysis Studies.

Canonical correlation analysis is a sophisticated multivariate technique that subsumes all parametric methods (the "t"-test, analysis of variance, analysis of covariance, multivariate analysis of variance, multivariate analysis of covariance, and discriminant analysis) as special cases. This bibliography lists 83 applications of canonical correlation analysis reported during the past decade. Forty-one of these analysis studies are conference papers or technical reports, and the remaining 42 studies are published articles or book chapters. The unpublished studies are all available from ERIC. (SLD)