Canonical correlation analysis is the most general linear model subsuming all other univariate and multivariate cases (N. Kerlinger & E. Pedhazur, 1973; B. Thompson, 1985, 1991). Because "reality" is a complex place, a multivariate analysis such as canonical correlation analysis is demanded to match the research design. The purpose of this paper is to increase the awareness and use of canonical correlation analysis and specifically to demonstrate the value of the related procedure of commonality analysis. Commonality analysis provides the researcher with information regarding the variance explained by each of the measured variables and the common contribution from one or more of the other variables in a canonical analysis. (A. Beaton, 1973; B. Frederick, 1999). An example using the scores of 287 sixth graders on 3 measures illustrates the procedure. An appendix contains Statistical Package for the Social Sciences syntax for conducting commonality analysis. (Contains 3 figures and 20 references.) (Author/SLD)