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  • 标题:Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators
  • 本地全文:下载
  • 作者:Pablo Ezequiel Flores-Kanter ; Sergio Dominguez-Lara ; Mario Alberto Trógolo
  • 期刊名称:Revista Evaluar
  • 印刷版ISSN:1667-4545
  • 出版年度:2018
  • 卷号:18
  • 期号:3
  • 页码:1-5
  • DOI:10.35670/1667-4545.v18.n3.22221
  • 出版社:Laboratorio de Evaluación Psicológica y Educativa(LEPE)
  • 摘要: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.
  • 其他摘要: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.
  • 关键词:confirmatory factor analyses;bifactor models;PANAS;complementary statistical fit indices
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