Bayesian Estimation in Unrestricted Factor Analysis: A Treatment for Heywood Cases.

Martin, James K.; McDonald, Roderick P.

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ERIC Number: EJ133679

Record Type: Journal

Publication Date: 1975

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Bayesian Estimation in Unrestricted Factor Analysis: A Treatment for Heywood Cases

Martin, James K.; McDonald, Roderick P.

Psychometrika, 40, 4, 505-17, Dec 75

A Bayesian procedure is given for estimation in unrestricted common factor analysis. A choice of the form of the prior distribution is justified. The procedure achieves its objective of avoiding inadmissible estimates of unique variances, and is reasonably insensitive to certain variations in the shape of the prior distribution. (Author/BJG)

Descriptors: Bayesian Statistics, Factor Analysis, Factor Structure, Mathematical Models, Maximum Likelihood Statistics

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