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

1985/06/01 by Anne Boomsma · 627 citations
Mathematics · Psychology · #Advanced Statistical Methods and Models #Affect (linguistics) #Econometrics #Economics #Estimation #LISREL #Mathematics #Maximum likelihood #Psychology #Robustness (evolution) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics #Structural equation modeling

paper · doi:10.1007/bf02294248

published in Psychometrika 50(2), 229-242 (Springer Science+Business Media)

openalex publication_date 1985/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

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.

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