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Some Factors Affecting the Success of Specification Searches in Covariance Structure Modeling
Multivariate Behavioral Research
|January 19, 2016
Summary
Improving covariance structure models involves specification searches. Restricting modifications to those supported by theory significantly enhances finding the "true" model.
Area of Science:
- Statistics
- Psychometrics
- Quantitative Psychology
Background:
- Covariance structure modeling frequently involves refining initial models to improve fit and parsimony.
- Model specification searches are complex, requiring careful judgment to identify the most accurate model.
Purpose of the Study:
- To extend previous research on specification searches in covariance structure modeling.
- To evaluate the effectiveness of different search strategies on initial models with varying degrees of correctness.
Main Methods:
- Examining the impact of various specification search strategies.
- Comparing strategies based on theoretical justification versus unrestricted modifications.
- Assessing the role of prioritizing the measurement model.
Main Results:
- Restricting model modifications to those with theoretical justification substantially increases the success rate of specification searches.
- Prioritizing the measurement model during searches offers no discernible advantage.
- A well-defined initial model grounded in strong theory is crucial for successful specification searches.
Conclusions:
- Theoretical guidance is paramount for effective covariance structure model specification searches.
- When theoretical knowledge is limited, a comprehensive initial model may be preferable to a poorly constructed one.
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