What Is the Maximum Likelihood Estimate When the Initial Solution to the Optimization Problem Is Inadmissible? The Case of Negatively Estimated Variances

What Is the Maximum Likelihood Estimate When the Initial Solution to the Optimization Problem Is Inadmissible? The Case of Negatively Estimated Variances

The default procedures of the software programs M<i>plus</i> and lavaan tend to yield an inadmissible solution (also called a Heywood case) when the sample is small or the parameter is close to the boundary of the parameter space. In factor models, a negatively estimated variance does of...

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Bibliographic Details
Main Authors: Steffen Zitzmann, Julia-Kim Walther, Martin Hecht, Benjamin Nagengast
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Psych
Subjects:
maximum likelihood
Heywood case
inadmissible solution
confirmatory factor analysis
Online Access:https://www.mdpi.com/2624-8611/4/3/29

Internet

https://www.mdpi.com/2624-8611/4/3/29

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