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首页> 外文期刊>Nursing research >The Beck Depression Inventory II factor structure among low-income women.
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The Beck Depression Inventory II factor structure among low-income women.

机译：低收入妇女的贝克抑郁量表II因子结构。

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BACKGROUND: The Beck Depression Inventory II (BDI-II) is considered a gold standard for identifying depression in adults. Validity of the BDI-II has been documented in diverse populations using exploratory factor analysis (EFA), although no findings have been reported exclusively among lower income women. Among EFA findings, the factor structure of the BDI-II has been inconsistent, with cognitive, affective, and somatic domains emerging differentially within factors across studies. This, in conjunction with concerns around the confounding of depressive symptoms as measured by the BDI-II and other illness states, has led researchers to examine more complex factor structures using confirmatory factor analysis (CFA). OBJECTIVE: The purpose of this study was to evaluate the factor structure of the BDI-II using both EFA and CFA among low-income women. METHODS: After EFA with Promax rotation, CFA testing was conducted on several structural models with two randomly split subsamples of 108 and 200 women going through a Welfare Transition Program. RESULTS: A two-factor structure was indicated by EFA, with the cognitive and affective domains represented in Factor 1 and somatic items comprising Factor 2. CFA revealed a general factor model, with General Depression and residual Cognitive and Somatic factors, best fit to the data on the basis of several indices (root mean square error of approximation = 0.05; standardized root mean square residual = 0.05; weighted root mean square residual = 0.69; comparative fit index = .98; and Tucker-Lewis index = .99) and model difference tests of significance (four comparisons: all chi values >24.9, all p values < .001). DISCUSSION: Measurement using BDI-II is best represented by a complex factor structure among low-income women and is consistent with findings in other populations. Additional consideration for how a general model factor structure provides potentially new directions for depression measurement may advance science in several areas.
机译：背景：贝克抑郁量表II（BDI-II）被认为是识别成年人抑郁症的黄金标准。使用探索性因子分析（EFA）已证明BDI-II在不同人群中的有效性，尽管没有报道专门针对低收入女性。在全民教育调查结果中，BDI-II的因子结构一直不一致，整个研究中的因子内，认知，情感和躯体域的出现方式有所不同。结合对BDI-II和其他疾病状态所测量的抑郁症状混杂的担忧，研究人员使用确认性因子分析（CFA）研究了更复杂的因子结构。目的：本研究旨在利用EFA和CFA评估低收入女性的BDI-II因子结构。方法：在具有Promax旋转的EFA之后，对多个结构模型进行了CFA测试，其中两个随机拆分的子样本分别来自108名和200名妇女，并通过了福利过渡计划。结果：EFA表示为两因素结构，其认知和情感领域以因素1表示，而躯体项目则包含因素2。基于多个指标的数据（近似均方根误差= 0.05;标准均方根残差= 0.05;加权均方根残差= 0.69;比较拟合指数= .98; Tucker-Lewis指数= .99）和模型差异显着性检验（四个比较：所有chi值> 24.9，所有p值<.001）。讨论：在低收入妇女中，使用BDI-II进行的测量最能代表一个复杂的因素结构，并且与其他人群的研究结果一致。关于通用模型因子结构如何为抑郁症测量提供潜在新方向的其他考虑，可能会在几个领域推动科学发展。

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