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Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation

Published online by Cambridge University Press:  01 January 2025

Anne Boomsma
Anne Boomsma*
Affiliation:
University of Groningen
*
Requests for reprints should be sent to A. Boomsma, Vakgroep Statistiek en Meettheorie, Rijksuniversiteit Groningen, Oude Boteringestraat 23, 9712 GC Groningen, THE NETHERLANDS.
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Abstract

In the framework of a robustness study on maximum likelihood estimation with LISREL three types of problems are dealt with: nonconvergence, improper solutions, and choice of starting values. The purpose of the paper is to illustrate why and to what extent these problems are of importance for users of LISREL. The ways in which these issues may affect the design and conclusions of robustness research is also discussed.

Keywords

maximum likelihood estimationLISRELDavidon-Fletcher-Powellstarting valuesnonconvergenceimproper solutionsrobustnessMonte Carlosmall sample results
Type
Original Paper
Information
Psychometrika , Volume 50 , Issue 2 , June 1985 , pp. 229 - 242
Copyright
Copyright © 1985 The Psychometric Society

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