The Principal Components of Mixed Measurement Level Multivariate Data: An Alternating Least Squares Method with Optimal Scaling Features.

Young, Forrest W.; And Others

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Peer reviewed

ERIC Number: EJ189629

Record Type: CIJE

Publication Date: 1978

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The Principal Components of Mixed Measurement Level Multivariate Data: An Alternating Least Squares Method with Optimal Scaling Features

Young, Forrest W.; And Others

Psychometrika, 43, 2, 279-81, Jun 78

Principal components analysis is generalized to the case where any of the variables under consideration can be nominal, ordinal or interval. Hotelling's original formulation is seen to be a special case of this generalization. (JKS)

Descriptors: Correlation, Factor Analysis, Mathematical Models, Matrices, Oblique Rotation, Orthogonal Rotation, Psychometrics

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Language: English

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