TESTS FOR COMPARING ELEMENTS OF A CORRELATION MATRIX
TESTS FOR COMPARING ELEMENTS OF A CORRELATION MATRIX
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DOI：
10.1037/0033-2909.87.2.245
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发表时间：
1980-01-01
影响因子：
22.4
通讯作者：
STEIGER, JH
中科院分区：
文献类型：
--
作者：
STEIGER, JH
在心理学研究中，人们希望能够对相同个体的相关系数进行统计比较。例如，实验者（E）可能希望评估2个预测因子是否与标准变量同等相关。在另一种情况下，E可能希望测试整个相关矩阵随时间保持稳定的假设。本文回顾了有关此类测试的文献，指出了一些应该避免的统计数据，并提出了各种可以安全地用于中到大样本的技术。提供了几个数值例子。(18参考）（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
In psychological research, it is desirable to be able to make statistical comparisons between correlation coefficients measured on the same individuals. For example, an experimenter (E) may wish to assess whether 2 predictors correlate equally with a criterion variable. In another situation, the E may wish to test the hypothesis that an entire matrix of correlations has remained stable over time. The present article reviews the literature on such tests, points out some statistics that should be avoided, and presents a variety of techniques that can be used safely with medium to large samples. Several numerical examples are provided.(18 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)