Canonical correlation analysis: A general parametric significance-testing system

Suggests that significance tests for 9 of the most common statistical procedures (simple correlation, t test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance, t test for correlated samples, discriminant analysis, and chi-square test of indep...

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Bibliographic Details
Published in:Psychological bulletin 1978-03, Vol.85 (2), p.410-416
Main Author: Knapp, Thomas R
Format: Article
Language:English
Subjects:
Human
Statistical Analysis
Statistical Correlation
Statistical Significance
Statistical Tests
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Description
Summary:Suggests that significance tests for 9 of the most common statistical procedures (simple correlation, t test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance, t test for correlated samples, discriminant analysis, and chi-square test of independence) can all be treated as special cases of the test of the null hypothesis in canonical correlation analysis for 2 sets of variables. (15 ref)
ISSN:0033-2909
1939-1455
DOI:10.1037/0033-2909.85.2.410