Abstract

SILVA, Marli Appel da; WENDT, Guilherme Welter  and  ARGIMON, Irani Iracema de Lima. Beck depression inventory II: analyses by latent trace theory. Aval. psicol. [online]. 2018, vol.17, n.3, pp.339-350. ISSN 1677-0471.  https://doi.org/10.15689/ap.2018.1703.14651.07.

This study aims to evaluate psychometric properties of the Beck Depression Inventory - Second Version (BDI-II), which aims to evaluate the severity of depressive symptoms. The following methods of the Latent Trace Theory were used: Exploratory Structural Equation Modeling, Latent Class Analysis and Multi-group Confirmatory Factor Analysis. The possibility that BDI-II could be a one-dimensional instrument with more restricted subfactors (bi-factor model) was observed. There was evidence that the instrument presented precision in measuring the severity of depressive symptoms. Cutoff points were also suggested, verifying the possibility of three classes in terms of depressive symptoms severity: minimal, mild, and moderate/severe. Among the limitations of this study, it should be noted that the comparison with other samples with different characteristics was not performed.

Keywords : depressive symptoms; BDI-II; latent trace theory.

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