Zhang Guangjian
a University of Notre Dame.
Multivariate Behav Res. 2014 Jul-Aug;49(4):339-53. doi: 10.1080/00273171.2014.908271.
The article describes 6 issues influencing standard errors in exploratory factor analysis and reviews 7 methods of computing standard errors for rotated factor loadings and factor correlations. These 7 methods are the augmented information method, the nonparametric bootstrap method, the infinitesimal jackknife method, the method using the asymptotic distributions of unrotated factor loadings, the sandwich method, the parametric bootstrap method, and the jackknife method. Standard error estimates are illustrated using a personality study with 537 men and an intelligence study with 145 children.
本文描述了影响探索性因素分析中标准误差的6个问题,并回顾了7种计算旋转因子载荷和因子相关性标准误差的方法。这7种方法分别是增强信息法、非参数自助法、无穷小刀切法、利用未旋转因子载荷渐近分布的方法、三明治法、参数自助法和刀切法。使用一项对537名男性的人格研究和一项对145名儿童的智力研究来说明标准误差估计。