COMPARING CORRELATED CORRELATION-COEFFICIENTS
COMPARING CORRELATED CORRELATION-COEFFICIENTS
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DOI：
10.1037/0033-2909.111.1.172
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发表时间：
1992-01-01
影响因子：
22.4
通讯作者：
RUBIN, DB
中科院分区：
文献类型：
--
作者：
MENG, XL;ROSENTHAL, R;RUBIN, DB
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.
