2005•Encyclopedia of BiostatisticsRequires access

Factor Scores

Ralph B. D’Agostino, Heidy K. Russell

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Abstract

Abstract After a set of interpretable factor loadings is determined, a next possible step is to compute factor scores. Exact factor scores can be obtained for a principal components analysis model. Methods that compute factor scores in the common factor analysis model are also presented. In general, there is limited value in the use of factor scores, for even though the factors are interpretable, the estimated factor scores are not well determined.

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What this paper is about

Abstract After a set of interpretable factor loadings is determined, a next possible step is to compute factor scores. Exact factor scores can be obtained for a principal components analysis model. Methods that compute factor scores in the common factor analysis model are also presented. In general, there is limited value in the use of factor scores, for even though the factors are interpretable, the estimated factor scores are not well determined.

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Available abstract

Abstract After a set of interpretable factor loadings is determined, a next possible step is to compute factor scores. Exact factor scores can be obtained for a principal components analysis model. Methods that compute factor scores in the common factor analysis model are also presented. In general, there is limited value in the use of factor scores, for even though the factors are interpretable, the estimated factor scores are not well determined.

Key concepts: Factor (programming language), Factor analysis, Principal component analysis, Set (abstract data type), Statistics, Value (mathematics), Mathematics, R-value (soils)

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