The Infinitesimal Jackknife with Exploratory Factor Analysis

被引：0
|
作者：
Guangjian Zhang
Kristopher J. Preacher
Robert I. Jennrich
机构：
[1] University of Notre Dame,Psychology Department, Haggar Hall
[2] Vanderbilt University,undefined
[3] University of California at Los Angeles,undefined
来源：
Psychometrika | 2012年 / 77卷
关键词：
exploratory factor analysis; standard error; EFA; infinitesimal jackknife; IJK; nonparametric standard error estimates; model misspecification; nonnormal data; minimum deviance methods;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both maximum likelihood estimation and ordinary least squares estimation are considered.
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页码：634 / 648
页数：14
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