The advantages and disadvantages of three analytic methods used to analyze experimental data in educational research are discussed. The same hypothetical data set is used with all methods for a direct comparison. The Analysis of Variance (ANOVA) method and its several analogs are collectively labeled OVA methods and are evaluated. Regression coding analysis is conducted by entering the five coding column predictor variables into a stepwise multiple regression analysis to predict the dependent variable. Regression coding represents OVA analyses a a regression equation. Commonality analysis focusses attention on effect size estimates for experimental, aptitude, and other independent variables. Results suggest that commonality analysis can be usefully employed in research studies in education, especially when aptitude-treatment interaction studies are involved. (DWH)