The central purpose of the present study was to evaluate several statistical techniques (analysis of variance (ANOVA) on raw gains, standardized ANOVA, standard analysis of covariance (ANCOVA), and z-score ANOVA) under various quasi-experimental conditions (three levels of reliability, three levels of sample size, three levels of gain, and the equality of pretest means). One thousand sets of data were generated for each combination of statistical technique/conditions. Based on the results of the study, none of the statistical techniques were found to appropriately model reality. There was no statistically significant difference between the results produced by all four statistical techniques when there was no gain in either group and the pretest means of both groups were equal. ANOVA on raw gains and z-score ANOVA produced similar results when there was no gain in either group and the pretest means were different for both groups. The idea of developing a multiple analysis scheme was not supported for any of the statistical techniques used in this study. Finally, the study did not support the use of the statistical techniques investigated under the quasi-conditions constructed for this study. (BW)