Ten Berge J M
Multivariate Behav Res. 1986 Jan 1;21(1):29-40. doi: 10.1207/s15327906mbr2101_2.
This paper considers descriptive methods of comparing components from different studies, based on correlations between columns of component scores matrices, on congruence coefficients between columns of pattern, structure or component scores coefficient matrices, or on coefficients of invariance. Contrary to common belief, it is shown that coefficients of invariance are unrelated to correlations between component scores. On the other hand, having a perfect coefficient of invariance is shown to be equivalent to having a perfect congruence between corresponding columns of the component scores coefficient matrices. A similar but weaker relationship between the latter congruence and congruence between columns of pattern matrices is demonstrated.
本文基于成分得分矩阵列之间的相关性、模式、结构或成分得分系数矩阵列之间的同余系数或不变性系数,考虑比较不同研究中成分的描述性方法。与普遍看法相反,研究表明不变性系数与成分得分之间的相关性无关。另一方面,具有完美的不变性系数被证明等同于成分得分系数矩阵相应列之间具有完美的同余。还证明了后一同余与模式矩阵列之间的同余之间存在类似但较弱的关系。