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Explain the reason why you should not run a regression using factor scores of principal component factor analysis and should use the factor scores of

Explain the reason why you should not run a regression using factor scores of principal component factor analysis and should use the factor scores of principal axis factor analysis instead? What is the main difference between structure matrix and pattern matrix of a principal axis factor analysis output?

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