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Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation

Psychometrika volume 50, pages 229–242 (1985)Cite this article

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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Authors and Affiliations

  1. Vakgroep Statistiek en Meettheorie, Rijksuniversiteit Groningen, Oude Boteringestraat 23, 9712 GC, Groningen, The Netherlands

    Anne Boomsma

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  1. Anne Boomsma
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Boomsma, A. Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation. Psychometrika 50, 229–242 (1985). https://doi.org/10.1007/BF02294248

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  • DOI: https://doi.org/10.1007/BF02294248

Key words

  • maximum likelihood estimation
  • LISREL
  • Davidon-Fletcher-Powell
  • starting values
  • nonconvergence
  • improper solutions
  • robustness
  • Monte Carlo
  • small sample results