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

  • Anne Boomsma*
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    475 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)229-242
    Number of pages14
    JournalPsychometrika
    Volume50
    Issue number2
    DOIs
    Publication statusPublished - 1985

    Fingerprint

    Dive into the research topics of 'Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation'. Together they form a unique fingerprint.

    Cite this