Testing misspecifications in structural equation modeling
Model misspecifications include overparameterization and underparameterization. In this sense, modification indices provide useful information about additional specifications that could be done to improve model fit. However, it should be noted that re-specifications in the model may be not relevant....
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| Autores principales: | , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Universidad Nacional de Córdoba
2018
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| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/racc/article/view/19595 |
| Aporte de: |
| Sumario: | Model misspecifications include overparameterization and underparameterization. In this sense, modification indices provide useful information about additional specifications that could be done to improve model fit. However, it should be noted that re-specifications in the model may be not relevant. Saris, Satorra and Van der Veld (SSV) proposed a method that provides information for judging the practical significance of model re-specification suggested by the modification indices, representing additional and different information than fit indices. Currently, there are available programs for testing misspecifications. However, they require the output linked to a specific SEM program. The present study provides a SSV syntax for SPSS, which can expand the computational environment for their application. |
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