Comparing Correlated Correlation Coefficients

 
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Rosenthal, Robert, Donald Rubin and Xiao-Li Meng. 1992. "Comparing Correlated Correlation Coefficients." Psychological Bulletin 111, No. 1: 172-175.
Abstract
The purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple extensions of Dunn & Clark's (1969) work using the Fisher z transformation and include a test and confidence interval for comparing two correlated correlations, a test for heterogeneity, and a test and confidence interval for a contrast among k (>2) correlated correlations. Also briefly discussed is why the traditional Hotelling's t test for comparing correlated correlations is generally not appropriate in practice.
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http://nrs.harvard.edu/urn-3:HUL.InstRepos:11718225

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