m*******7
发帖数: 244 | 1 What is the best answer? | g******h
发帖数: 266 | 2 Factor analysis is related to principal component analysis (PCA) but not
identical. Because PCA performs a variance-maximizing rotation of the
variable space, it takes into account all variability in the variables. In
contrast, factor analysis estimates how much of the variability is due to
common factors ("communality"). The two methods become essentially
equivalent if the error terms in the factor analysis model (the variability
not explained by common factors) can be assumed to all have the s
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: What is the best answer?
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