Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators
Bifactor models have gained increasing popularity in the literature concerned with personality, psychopathology and assessment. Empirical studies using bifactor analysis generally judge the estimated model using SEM model fit indices, which may lead to erroneous interpretations and conclusions. To a...
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| Format: | Online |
| Language: | spa |
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Instituto de Investigaciones Psicológicas (IIPSI, Conicet-UNC)
2018
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| Subjects: | |
| Online Access: | https://revistas.unc.edu.ar/index.php/revaluar/article/view/22221 |
| _version_ | 1839025756560162816 |
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| author | Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián |
| author_facet | Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián |
| author_sort | Flores-Kanter, Pablo Ezequiel |
| collection | Portal de Revistas |
| description | Bifactor models have gained increasing popularity in the literature concerned with personality, psychopathology and assessment. Empirical studies using bifactor analysis generally judge the estimated model using SEM model fit indices, which may lead to erroneous interpretations and conclusions. To address this problem, several researchers have proposed multiple criteria to assess bifactor models, such as a) conceptual grounds, b) overall model fit indices, and c) specific bifactor model indicators. In this article, we provide a brief summary of these criteria. An example using data gathered from a recently published research article is also provided to show how taking into account all criteria, rather than solely SEM model fit indices, may prevent researchers from drawing wrong conclusions. |
| format | Online |
| id | oai:ojs.revistas.unc.edu.ar:article-22221 |
| institution | Universidad Nacional de Cordoba |
| language | spa |
| publishDate | 2018 |
| publisher | Instituto de Investigaciones Psicológicas (IIPSI, Conicet-UNC) |
| record_format | ojs |
| spelling | oai:ojs.revistas.unc.edu.ar:article-222212021-06-07T01:13:15Z Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián confirmatory factor analyses bifactor models PANAS complementary statistical fit indices confirmatory factor analyses bifactor models PANAS complementary statistical fit indices Bifactor models have gained increasing popularity in the literature concerned with personality, psychopathology and assessment. Empirical studies using bifactor analysis generally judge the estimated model using SEM model fit indices, which may lead to erroneous interpretations and conclusions. To address this problem, several researchers have proposed multiple criteria to assess bifactor models, such as a) conceptual grounds, b) overall model fit indices, and c) specific bifactor model indicators. In this article, we provide a brief summary of these criteria. An example using data gathered from a recently published research article is also provided to show how taking into account all criteria, rather than solely SEM model fit indices, may prevent researchers from drawing wrong conclusions. Bifactor models have gained increasing popularity in the literature concerned with personality, psychopathology and assessment. Empirical studies using bifactor analysis generally judge the estimated model using SEM model fit indices, which may lead to erroneous interpretations and conclusions. To address this problem, several researchers have proposed multiple criteria to assess bifactor models, such as a) conceptual grounds, b) overall model fit indices, and c) specific bifactor model indicators. In this article, we provide a brief summary of these criteria. An example using data gathered from a recently published research article is also provided to show how taking into account all criteria, rather than solely SEM model fit indices, may prevent researchers from drawing wrong conclusions. Instituto de Investigaciones Psicológicas (IIPSI, Conicet-UNC) 2018-12-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/revaluar/article/view/22221 10.35670/1667-4545.v18.n3.22221 Revista Evaluar; Vol. 18 Núm. 3 (2018) 1667-4545 10.35670/1667-4545.v18.n3 spa https://revistas.unc.edu.ar/index.php/revaluar/article/view/22221/21819 Derechos de autor 2018 Pablo Ezequiel Flores-Kanter, Sergio Dominguez-Lara, Mario Alberto Trógolo, Leonardo Adrián Medrano http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | confirmatory factor analyses bifactor models PANAS complementary statistical fit indices confirmatory factor analyses bifactor models PANAS complementary statistical fit indices Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián Flores-Kanter, Pablo Ezequiel Dominguez-Lara, Sergio Trógolo, Mario Alberto Medrano, Leonardo Adrián Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title | Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title_alt | Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title_full | Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title_fullStr | Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title_full_unstemmed | Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title_short | Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators |
| title_sort | best practices in the use of bifactor models conceptual grounds fit indices and complementary indicators |
| topic | confirmatory factor analyses bifactor models PANAS complementary statistical fit indices confirmatory factor analyses bifactor models PANAS complementary statistical fit indices |
| topic_facet | confirmatory factor analyses bifactor models PANAS complementary statistical fit indices confirmatory factor analyses bifactor models PANAS complementary statistical fit indices |
| url | https://revistas.unc.edu.ar/index.php/revaluar/article/view/22221 |
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