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常用因子分析程序中的扭曲。

Distortions In A Commonly Used Factor Analytic Procedure.

出版信息

Multivariate Behav Res. 1979 Jul 1;14(3):301-21. doi: 10.1207/s15327906mbr1403_2.

Abstract

A currently popular procedure in empirical factor analytic studies is to use unities in the main diagonal as communality estimates, extract all factors with eigenvalues of 1.0 or higher, and rotate these factors by varimax. This procedure and others are applied to several previously published correlation matrices and some artificial matrices. This procedure results in the retention of too many factors, unrealistic elevation of the amount of common factor variance analyzed, and distortions in the conclusions drawn from the factor analytic investigation. Ways of avoiding these difficulties, are discussed.

摘要

目前实证因子分析研究中较为流行的一个步骤是,采用主对角线上的单位矩阵作为共性估计值,提取所有特征值为 1.0 或更高的因子,并通过方差极大旋转这些因子。该程序和其他程序被应用于几个之前发表的相关矩阵和一些人工矩阵。这一程序导致保留了太多的因子,分析的共同因子方差的不切实际的增加,以及从因子分析研究中得出的结论的扭曲。讨论了避免这些困难的方法。

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