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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Main Authors: Dominguez-Lara, Sergio, Merino-Soto, César
Format: Online
Language:spa
Published: Universidad Nacional de Córdoba 2018
Subjects:
Online Access:https://revistas.unc.edu.ar/index.php/racc/article/view/19595
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author Dominguez-Lara, Sergio
Merino-Soto, César
author_facet Dominguez-Lara, Sergio
Merino-Soto, César
author_sort Dominguez-Lara, Sergio
collection Portal de Revistas
description 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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spelling oai:ojs.revistas.unc.edu.ar:article-195952019-06-07T17:05:15Z Testing misspecifications in structural equation modeling Evaluación de las malas especificaciones en modelos de ecuaciones estructurales Dominguez-Lara, Sergio Merino-Soto, César modelamiento de ecuaciones estructurales malas especificaciones validez structural equation modeling misspecifications validity 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. Las malas especificaciones hacen referencia a dos situaciones: sobre-parametrización e infra-parametrización. En este sentido, los índices de modificación informan sobre aquellas especificaciones adicionales que deben realizarse para mejorar el ajuste. Sin embargo, estas re-especificaciones pueden ser no relevantes. Saris, Satorra, y Van der Veld (SSV) propusieron un método que proporciona información para decidir sobre la importancia práctica de las malas especificaciones identificadas por los índices de modificación, y que complementa a los índices de ajuste habituales. Si bien existen programas disponibles para evaluar las malas especificaciones, se requieren outputs específicos. Para aplicar el método SSV, se presenta una sintaxis escrita para SPSS, lo que permite ampliar el ambiente informático de su aplicación. Universidad Nacional de Córdoba 2018-09-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document text/plain https://revistas.unc.edu.ar/index.php/racc/article/view/19595 10.32348/1852.4206.v10.n2.19595 Argentinean Journal of Behavioral Sciences; Vol. 10 No. 2 (2018): REVISTA ARGENTINA DE CIENCIAS DEL COMPORTAMIENTO; 19-24 Revista Argentina de Ciencias del Comportamiento; Vol. 10 Núm. 2 (2018): REVISTA ARGENTINA DE CIENCIAS DEL COMPORTAMIENTO; 19-24 1852-4206 10.32348/1852.4206.v10.n2 spa https://revistas.unc.edu.ar/index.php/racc/article/view/19595/pdf https://revistas.unc.edu.ar/index.php/racc/article/view/19595/26839 https://revistas.unc.edu.ar/index.php/racc/article/view/19595/26840 Derechos de autor 2018 Sergio Dominguez-Lara, César Merino-Soto
spellingShingle modelamiento de ecuaciones estructurales
malas especificaciones
validez
structural equation modeling
misspecifications
validity
Dominguez-Lara, Sergio
Merino-Soto, César
Testing misspecifications in structural equation modeling
title Testing misspecifications in structural equation modeling
title_alt Evaluación de las malas especificaciones en modelos de ecuaciones estructurales
title_full Testing misspecifications in structural equation modeling
title_fullStr Testing misspecifications in structural equation modeling
title_full_unstemmed Testing misspecifications in structural equation modeling
title_short Testing misspecifications in structural equation modeling
title_sort testing misspecifications in structural equation modeling
topic modelamiento de ecuaciones estructurales
malas especificaciones
validez
structural equation modeling
misspecifications
validity
topic_facet modelamiento de ecuaciones estructurales
malas especificaciones
validez
structural equation modeling
misspecifications
validity
url https://revistas.unc.edu.ar/index.php/racc/article/view/19595
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