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Estrutura fatorial do Inventário de Depress?o Beck para depress?o em estudantes universitários

机译:大学生抑郁症贝克抑郁量表的因子结构

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Objective To explore the dimensionality of the Beck Depression Inventory (BDI) among Colombian college students. Methods A validation study was designed, involving the participation of a sample of 786 health science students (medicine, nursing, and psychology) aged between 18 and 27 ( M =20.0, SD = 1.9). The participants completed the 21-item BDI. Internal consistency was calculated (Cronbach's alpha and McDonald's omega) and dimensionality was demonstrated using factorial confirmatory analysis (CFA). Results The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was high (0.898) and the Bartlett's sphericity test gave excellent results (chi-square = 3,102.60; df = 210; p 0.001). One-, two- and three-dimensional models were used. The unidimensional model performed best, representing 24.8% of the total variance, high internal consistency, a Cronbach's alpha of 0.83 and a McDonald's omega of 0.84. However, the CFA did not fit adequately (chi-square = 583.79; df = 189; p 0.001, RMSEA = 0.052, CI 90% 0.047-0.056, CFI = 0.87, TLI = 0.85 and SMSR = 0.04). Conclusions The best factor solution for the BDI is given by the unidimensional model, which presents high internal consistency. However, its adjustment in the CFA is not acceptable.
机译:目的探讨哥伦比亚大学生的贝克抑郁量表(BDI)的量纲。方法设计了一项验证研究,其中包括786名年龄在18至27岁(医学= 20.0,标准差= 1.9)的健康科学学生(医学,护理和心理学)的样本。参与者完成了21个项目的BDI。计算内部一致性(Cronbach'sα和McDonald'sω),并使用阶乘确认分析(CFA)证明其尺寸。结果用Kaiser-Meyer-Olkin(KMO)量度了足够的样本(0.898),Bartlett的球形度测试得出了极好的结果(卡方= 3,102.60; df = 210; p <0.001)。使用一维,二维和三维模型。一维模型的效果最佳,代表总方差的24.8%,内部一致性高,克朗巴赫(Cronbach)α为0.83,麦当劳欧米茄(Omega)为0.84。但是,CFA不合适(卡方= 583.79; df = 189; p <0.001,RMSEA = 0.052,CI 90%0.047-0.056,CFI = 0.87,TLI = 0.85和SMSR = 0.04)。结论一维模型给出了BDI的最佳因子解决方案,该模型具有很高的内部一致性。但是,在终审法院的调整是不可接受的。

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