ERIC Number: ED356234
Record Type: Non-Journal
Publication Date: 1993-Jan
Reference Count: N/A
An Explanation of Canonical Correlation Analysis as the Most General Linear Model with Heuristic Examples.
Campbell, Kathleen T.; Taylor, Dianne L.
Using a hypothetical data set of 24 cases concerning opinions on contemporary issues on which Democrats and Republicans might disagree, concrete examples are provided to illustrate that canonical correlation analysis is the most general linear model, subsuming other parametric procedures as special cases. Specific statistical techniques included in the analysis are "t"-tests, Pearson correlation, multiple regression, analysis of variance, multiple analysis of variance, and discriminant analysis. The discussion is aided by an initial explanation of the logic of canonical analysis. The equivalence of results, common features of the statistical methods, and the superiority of canonical methods are highlighted. Similarities between the canonical technique and other univariate and multivariate procedures are emphasized. Twelve tables present analysis results. An appendix lists the Statistical Analysis System commands for all parametric tests. (Contains 22 references.) (Author/SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A