Accounting for Variance Shared by Measures of Personality and Stress-Related Variables: A Canonical Correlation Analysis
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TL;DR
Canonical correlation analysis suggests that multivariate procedures treating the data set as a whole can detect underlying patterns obscured by large sampling errors at lower levels of analysis.
Abstract
Correlations were computed among the five personality scales of the NEO Personality Inventory, two measures derived from the Hassles Scale, and eight ways of dealing with stress measured by the Ways of Coping Questionnaire. Subjects were 66 undergraduate psychology students. Canonical correlation analysis suggests that multivariate procedures treating the data set as a whole can detect underlying patterns obscured by large sampling errors at lower levels of analysis.