A statistical manoeuvre which defines covariation for 2 groups of random variables—x and y—and seeks to identify linear combinations of the x's and the y's which have maximum correlation with each other.
In a little more than 50 pages, the authors attempt to address three different analysis of variance (ANOVA) models (single factor, two factor with nonrepeated experiments, and two factor with repeated experiments), discriminant analysis, factor analysis, principal component analysis, multidimensional scaling, and canonical correlation analysis.
Canonical correlation and multiple regression analyses indicated that less educated, less hardy, and recently injured participants were more likely to use escape-avoidance coping and less likely to use social support, problem solving, and positive reappraisal coping behaviors (p < .
The methods used, like the Davidson and Mackinnon (1981) test for specification error and the canonical correlation analysis (Chen and Jordan, 1993; Cheng, 1995) have not been used in similar studies for the ASE.
To assess the extent to which religious variables predicted internalized outcomes, a canonical correlation analysis was conducted using religious variables (gathered through RES, Quest Scale, SWBS) as "predictors of the internalizing outcome variables (shame, guilt, internalized homophobia) in order to analyze the multivariate shared relationship between the two variable sets" (p.