[原创]STATA中主成分分析与使用主成分法的因子分析的区别

正好要学习主成分分析法，谢谢

要学习一下了

谢谢楼主，3Q3q

谢谢不过还是不太明白。。。

thank you a lot

谢谢版主的分享

好东西，谢谢分享

正需要呢，好好学习ing

thanks a lot

Principal factors vs. principal components. The defining characteristic then that distinguishes between the two factor analytic models is that in principal components analysis we assume that all variability in an item should be used in the analysis, while in principal factors analysis we only use the variability in an item that it has in common with the other items. In most cases, these two methods usually yield very similar results. However, principal components analysis is often preferred as a method for data reduction, while principal factors analysis is often preferred when the goal of the analysis is to detect structure (see Factor Analysis as a Classification Method).