Principal components analysis is usually the preferred method of factor extraction, especially when the focus of an analysis searching for an underlying structure is explanatory.

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Principal components analysis is typically used for data reduction rather than for identifying underlying structures, which is better suited for factor analysis.

Principal Components Analysis Is Usually the Preferred Method of Factor