What question did this study set out to answer?

This article aims to present a comprehensive strategy for evaluating and modifying covariance structure models in statistical analysis.

Evaluating and Modifying Covariance Structure Models: A Review and Recommendation

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Review and recommendation evaluate and modify covariance structure models, suggesting strategies for improved accuracy.

This article aims to present a comprehensive strategy for evaluating and modifying covariance structure models in statistical analysis.
Reviewed recent developments in estimation and asymptotic theory related to hypothesis testing.
Evaluated factors affecting model integrity, including nonnormality, missing data, and sample size sensitivity.
Recommended the use of LISREL modification index and expected parameter change statistic for model assessment.
The proposed approach allows for a better understanding of model misfit and sample size effects.
Utilization of alternative fit indices may limit the ability to identify model specification errors.
The advocated strategies enhance statistical power and the accuracy of covariance structure modeling assessments.

David M. Kaplan (1990) studied this question.

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