A general linear model (GLM) framework is used to suggest that structure coefficients ought to be interpreted in structural equation modeling confirmatory factor analysis (CFA) studies in which factors are correlated. The computation of structure coefficients in explanatory factor analysis and CFA is explained. Two heuristic data sets are used to make the discussion concrete, illustrating the calculation of pattern and structure coefficients in LISREL CFA studies investigating scores on ability batteries. The benefits from using CFA structure coefficients are illustrated using two additional studies. One involves nine ability variables from a previous CFA study, and the other involves a self-concept model tested in a study by B. M. Byrne (1989). (Contains 6 tables and 28 references.) (Author/SLD)