More on EM for ML Factor Analysis

1 June 1983

journal article
Published by Cambridge University Press (CUP) in Psychometrika

Vol. 48 (2) , 253-257
https://doi.org/10.1007/bf02294020

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.

Keywords

This publication has 4 references indexed in Scilit:

Problems with EM Algorithms for ML Factor Analysis
Psychometrika, 1983
On the Convergence Properties of the EM Algorithm
The Annals of Statistics, 1983
EM Algorithms for ML Factor Analysis
Psychometrika, 1982
A General Approach to Confirmatory Maximum Likelihood Factor Analysis
Psychometrika, 1969