Publication: Comparing Correlated Correlation Coefficients
Date
1992
Published Version
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
American Psychological Association
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Rosenthal, Robert, Donald Rubin and Xiao-Li Meng. 1992. "Comparing Correlated Correlation Coefficients." Psychological Bulletin 111, No. 1: 172-175.
Research Data
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.
Description
Other Available Sources
Keywords
Terms of Use
Metadata Only