Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation
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
- Boomsma, A.
- Affiliations
- University of Groningen (NL)
- Corresponding author
- Boomsma, Anne
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1985-06
- Volume
- 50
- Issue
- 2
- Pages
- 229-242
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2170567128
- Cited by
- 621
- References
- 0
- Citations by year
- 2026: 47 · 2025: 47 · 2024: 60 · 2023: 56 · 2022: 47 · 2021: 53 · 2020: 26 · 2019: 37 · 2018: 25 · 2017: 21 · 2016: 12 · 2015: 8 · 2014: 5 · 2013: 8 · 2012: 6
- FWCI
- 10.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychometrika (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- LISREL, maximum likelihood estimation, non-convergence, improper solutions, starting values, robustness, structural equation modeling, estimation problems
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