More on EM for ML Factor Analysis

Donald B. Rubin · Dorothy T. Thayer

32 citations0/0 files storedPsychometrika

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

We address several issues that are raised by Bentler and Tanaka's [1983] discussion of Rubin and Thayer [1982]. Our conclusions are: standard methods do not completely monitor the possible existence of multiple local maxima; summarizing inferential precision by the standard output based on second derivatives of the log likelihood at a maximum can be inappropriate, even if there exists a unique local maximum; EM and LISREL can be viewed as complementary, albeit not entirely adequate, tools for factor analysis.

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References

1969A General Approach to Confirmatory Maximum Likelihood Factor Analysis 1982EM Algorithms for ML Factor Analysis 1983Problems with EM Algorithms for ML Factor Analysis

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1985Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation 1985A Latent Class Model for Rating Data

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