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[测量量表的内部验证:主成分分析、克朗巴哈α系数与组内相关系数之间的关系]

[Internal validation of a measurement scale: relation between principal component analysis, Cronbach's alpha coefficient and intra-class correlation coefficient].

作者信息

Moret L, Mesbah M, Chwalow J, Lellouch J

机构信息

INSERM U21, Villejuif.

出版信息

Rev Epidemiol Sante Publique. 1993;41(2):179-86.

PMID:8493397
Abstract

The objective is to establish a simple relationship between two frequently used validation techniques which have been developed in the literature along the same lines: Principal Component Analysis and Cronbach's alpha. We have shown that under certain conditions, it is possible to estimate the reliability by using the results of a Principal Component Analysis only. Moreover, we report the relation between Cronbach's alpha and intraclass correlation coefficient, which are both used to estimate the reliability of continuous measures.

摘要

目的是在文献中沿相同思路开发的两种常用验证技术之间建立一种简单关系

主成分分析和克朗巴哈系数。我们已经表明,在某些条件下,仅使用主成分分析的结果来估计可靠性是可能的。此外,我们报告了克朗巴哈系数与组内相关系数之间的关系,这两者都用于估计连续测量的可靠性。

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