Comparing Correlated Correlation Coefficients

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Comparing Correlated Correlation Coefficients

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Title: Comparing Correlated Correlation Coefficients
Author: Rosenthal, Robert; Meng, Xiao-Li; Rubin, Donald B.

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Citation: Rosenthal, Robert, Donald Rubin and Xiao-Li Meng. 1992. "Comparing Correlated Correlation Coefficients." Psychological Bulletin 111, No. 1: 172-175.
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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.
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11718225
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