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Factor structure and gender invariance of the Beck Depression Inventory - second edition (BDI-II) in a community-dwelling sample of adults.
Faro, André; Pereira, Cicero R.
Afiliação
  • Faro A; Department of Psychology, Federal University of Sergipe, UFS, São Cristóvão, Sergipe, Brazil.
  • Pereira CR; Department of Psychology, Federal University of Paraiba, UFPB, João Pessoa, Paraíba, Brazil.
Health Psychol Behav Med ; 8(1): 16-31, 2020 Jan 20.
Article em En | MEDLINE | ID: mdl-34040860
Objective: The main purpose of this study was to investigate the factor structure of the Beck Depression Inventory - Second Edition (BDI-II) in a sample of adults. Specifically, we evaluated the BDI-II based on confirmatory factor analysis of different measurement models, and compared the optimal factor structure of the BDI-II by gender using measurement invariance analysis. Method: A cross-sectional survey with 717 community-dwelling adults was conducted. The Brazilian Portuguese version of the BDI-II was administered. Seven different models (one-, two-, three-factor models and their bifactor structures) were tested through CFA. CFA and multigroup analysis were executed with the software MPLUS (Weighted Least Squares Estimator - WLSMV). Results: Four bifactor models reached acceptable fit indices. A bifactor model with two specific factors (Cognitive-Affective, and Somatic-Affective) provided the best fit to the data. The multigroup analysis of this model demonstrated invariance by gender. Conclusions: Our findings support the use of the total BDI-II score to identify depressive symptoms, including gender comparisons. Since a bifactor structure fit the data better, the scores of the specific factors should not be used as the first choice, or at least should be used with caution. The analysis of the severity of depression, based on a total score, seems to be the most appropriate option.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Health Psychol Behav Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Health Psychol Behav Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido