The program presented computes a chi-square statistic for testing pattern hypotheses on correlation matrices. The statistic is based on a multivariate generalization of the Fisher r-to-z transformation. Monte Carlo studies have demonstrated that this statistic has small sample performance which is superior to an analogous likelihood ratio statistic obtained via the analysis of covariance structures.
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