COMPARING CORRELATED CORRELATION-COEFFICIENTS

被引：2105

作者：

MENG, XL

ROSENTHAL, R

RUBIN, DB

机构：

[1] HARVARD UNIV,DEPT PSYCHOL,33 KIRKLAND ST,CAMBRIDGE,MA 02138

[2] HARVARD UNIV,DEPT STAT,CAMBRIDGE,MA 02138

[3] UNIV CHICAGO,DEPT STAT,CHICAGO,IL 60637

来源：

PSYCHOLOGICAL BULLETIN | 1992年 / 111卷 / 01期

关键词：

D O I：

10.1037/0033-2909.111.1.172

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

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.

引用

页码：172 / 175

页数：4

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