PCA outperforms CFA in stability and accuracy of loadings.
Common factor analysis (CFA) and principal component analysis (PCA) were compared using simulations. PCA loadings were found to be higher and more stable than CFA loadings. PCA loadings showed weak correlation with true factor loadings for different types of distortions. The differences between CFA and PCA were consistent across various factors like sample sizes and types of analysis used.