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      Aspectos psicométricos do Inventário Beck de Depressão-II e do Beck Atenção Primária em usuários do Facebook Translated title: Psychometric aspects of the Beck Depression Inventory-II and the Beck Depression Inventory for Primary Care in Facebook users

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          Abstract

          RESUMO Objetivo Avaliar a depressão com instrumentos psicométricos válidos, confiáveis e breves é uma necessidade frequente de clínicos e outros profissionais de saúde mental. Este estudo apresenta evidências psicométricas do Inventário Beck de Depressão-II (BDI-II) e de sua versão desenvolvida especialmente para profissionais em Atenção Primária (BDI-PC). Métodos A amostra foi eleita de maneira não probabilística dos usuários do Facebook. O grupo foi composto por 692 participantes brasileiros, sendo 71,7% mulheres com idade média de 27,9 anos (DP = 11,6) e 28,3% homens com idade média de 30,1 anos (DP = 11,4). No geral, a idade média dos participantes foi de 28,5 anos (DP = 11,5). O modelo de Resposta Gradual de Samejima da Teoria de Resposta ao Item (TRI) foi implementado. Resultados Os resultados evidenciaram que o BDI-II (CFI = 0,99, RMSEA = 0,04) e o BDI-PC (CFI = 1,00, RMSEA = 0,01) são suficientemente unidimensionais e com indicadores adequados de fidedignidade, com coeficiente alfa de Cronbach de 0,96 para o BDI-II e de 0,92 para o BDI-PC. Conclusões Este trabalho apresenta uma importante contribuição à área de avaliação psicológica/neuropsicológica e oferece à comunidade de pesquisadores e clínicos evidências originais que proporcionam o uso do BDI-PC.

          Translated abstract

          ABSTRACT Objective The evaluation of depression with valid, reliable, and brief psychometric instruments is a common need for clinicians and other mental health professionals. The present study presents the psychometric evidence of the Beck Depression Inventory-II (BDI-II) and its version developed especially for primary care professionals (BDI-PC). Methods The sample was chosen non-probabilistically from Facebook users. The group consisted of 692 Brazilian participants, of whom 71.7% were women with a mean age of 27.9 years (SD = 11.6) and 28.3% were men with a mean age of 30.1 years (SD = 11.4). In general, the mean age of participants was 28.5 years (SD = 11.5). The Samejima Gradual Response model of the Item Response Theory (IRT) was modeled. Results The results present that BDI-II (CFI = 0.99, RMSEA = 0.04) and BDI-PC (CFI = 1.00, RMSEA = 0.01) are sufficiently unidimensional, and both have adequate reliability, with Cronbach’s alpha coefficient of 0.96 for BDI-II and 0.92 for BDI-PC. Conclusions This work presents an important contribution to the psychological/neuropsychological evaluation area, and offers to the community of researchers and clinicians original evidence that provides the use of BDI-PC.

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          Most cited references28

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          mirt: A Multidimensional Item Response Theory Package for theREnvironment

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            Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

            Objective: To review the psychometric properties of the Beck Depression Inventory-II (BDI-II) as a self-report measure of depression in a variety of settings and populations. Methods: Relevant studies of the BDI-II were retrieved through a search of electronic databases, a hand search, and contact with authors. Retained studies (k = 118) were allocated into three groups: non-clinical, psychiatric/institutionalized, and medical samples. Results: The internal consistency was described as around 0.9 and the retest reliability ranged from 0.73 to 0.96. The correlation between BDI-II and the Beck Depression Inventory (BDI-I) was high and substantial overlap with measures of depression and anxiety was reported. The criterion-based validity showed good sensitivity and specificity for detecting depression in comparison to the adopted gold standard. However, the cutoff score to screen for depression varied according to the type of sample. Factor analysis showed a robust dimension of general depression composed by two constructs: cognitive-affective and somatic-vegetative. Conclusions: The BDI-II is a relevant psychometric instrument, showing high reliability, capacity to discriminate between depressed and non-depressed subjects, and improved concurrent, content, and structural validity. Based on available psychometric evidence, the BDI-II can be viewed as a cost-effective questionnaire for measuring the severity of depression, with broad applicability for research and clinical practice worldwide.
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              Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement.

              Health outcomes researchers are increasingly applying Item Response Theory (IRT) methods to questionnaire development, evaluation, and refinement efforts. To provide a brief overview of IRT, to review some of the critical issues associated with IRT applications, and to demonstrate the basic features of IRT with an example. Example data come from 6,504 adolescent respondents in the National Longitudinal Study of Adolescent Health public use data set who completed to the 19-item Feelings Scale for depression. The sample was split into a development and validation sample. Scale items were calibrated in the development sample with the Graded Response Model and the results were used to construct a 10-item short form. The short form was evaluated in the validation sample by examining the correspondence between IRT scores from the short form and the original, and by comparing the proportion of respondents identified as depressed according to the original and short form observed cut scores. The 19 items varied in their discrimination (slope parameter range: .86-2.66), and item location parameters reflected a considerable range of depression (-.72-3.39). However, the item set is most discriminating at higher levels of depression. In the validation sample IRT scores generated from the short and long forms were correlated at .96 and the average difference in these scores was -.01. In addition, nearly 90% of the sample was classified identically as at risk or not at risk for depression using observed score cut points from the short and long forms. When used appropriately, IRT can be a powerful tool for questionnaire development, evaluation, and refinement, resulting in precise, valid, and relatively brief instruments that minimize response burden.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                jbpsiq
                Jornal Brasileiro de Psiquiatria
                J. bras. psiquiatr.
                Instituto de Psiquiatria da Universidade Federal do Rio de Janeiro (Rio de Janeiro, RJ, Brazil )
                0047-2085
                1982-0208
                June 2019
                : 68
                : 2
                : 83-91
                Affiliations
                [1] Rio de Janeiro orgnameUniversidade Federal do Rio de Janeiro Brazil
                [2] Mato Grosso orgnameUniversidade do Estado de Mato Grosso Brazil
                [3] orgnameUniversidade de Sao Paulo Brasil
                Article
                S0047-20852019000200083
                10.1590/0047-2085000000231
                4f1c70f2-5491-4d7a-b9f1-f55b46220822

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 19 February 2019
                : 04 May 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 39, Pages: 9
                Product

                SciELO Brazil

                Categories
                Artigos originais

                Depression,Teoria de Resposta ao Item,psicometria,Inventário Beck de Depressão,avaliação,Depressão,Item Response Theory,psychometrics,Beck Depression Inventory,assessment

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