Presents situations in which researchers can use the general linear model to uncover reasons for discrepant effect-size results of meta-analysis of similar studies. Situations include similarly labeled treatments or participants differing in important ways, treatment effectiveness varying by subject aptitude or situational variables, research design strongly influencing outcome, and analysis of several results from one study. (RAH)