Several goodness of fit (GOF) criteria have been developed to assist the researcher in interpreting structural equation models. However, the determination of GOF for structural equation models is not as straightforward as that for other statistical approaches in multivariate procedures. The four GOF criteria used across the commonly used statistical packages are: (1) chi square; (2) GOF; (3) adjusted GOF; and (4) root mean square residual. Two other approaches are the Tucker-Lewis Index (1973) and the Normed Fit Index (1980). Other measures that provide model comparisons are the normed chi-square, the parsimonious fit index, and the Akaike Information Criterion. A new measure of model fit, the maximum internal correlation coefficient, is proposed as a GOF criterion in structural equation models. This approach offers another test of model fit. Model testing is suggested for effectiveness and functionality of the specified variable relationships. Two tables summarize GOF criteria, and there is a 32-item list of references. (SLD)