Commonality analysis is a method of partitioning variance to determine the predictive ability unique to each predictor (or predictor set) and common to two or more of the predictors (or predictor sets). The purposes of the present paper are to (a) explain commonality analysis in a multiple regression context as an alternative for middle grades researchers, and (b) provide a generalization of commonality analysis to canonical correlation analysis. Heuristic applications of commonality analysis in both univariate and multivariate cases using statistical software SPSS will be discussed. (Contains 1 figure and 3 tables.)