National Scientific and Technical Research Council (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Argentina.
Instituto Tecnológico de Buenos Aires.
J Pers Assess. 2022 May-Jun;104(3):408-416. doi: 10.1080/00223891.2021.1942021. Epub 2021 Jul 6.
ABTRACTThe construct validity in relation to the dimensionality or factor structure of the Beck Hopelessness Scale (BHS) has long been debated in psychometrics. Irrelevant variance due to item wording (method effects) can distort the factor structure, and recent studies have examined the method factor's role in the factor structure of the BHS. However, the models used to control the method effects have severe limitations, and new models are needed. One such model is the correlated trait-correlated method minus one (CT-C(M-1)), which is a powerful approach that gives the trait factor an unambiguous meaning and prevents the anomalous results associated with fully symmetrical bifactor modeling. The present work compares the fit and factor structure of the CT-C(M-1) model to bifactor models proposed in previous literature and evaluates the criterion validity of the CT-C(M-1) model and its discriminatory capacity by taking suicidal ideation as the criterion variable. This study used a large and heterogeneous open mode online sample of Argentinian people (N = 2,164). The results indicated that the CT-C(M-1) model with positive words as referenced items achieves the most adequate factor structure. The factorial scores derived from this model demonstrate good predictive and discriminating capabilities.
摘要 贝克绝望量表（BHS）的维度或因子结构的建构效度在心理计量学中一直存在争议。由于项目措辞（方法效应）引起的不相关方差会扭曲因子结构，最近的研究已经检验了 BHS 因子结构中方法因子的作用。然而，用于控制方法效应的模型存在严重的局限性，需要新的模型。一种这样的模型是相关特质-相关方法减去一个（CT-C（M-1）），这是一种强大的方法，赋予特质因子一个明确的含义，并防止与完全对称的双因素建模相关的异常结果。本工作将 CT-C（M-1）模型与之前文献中提出的双因素模型进行拟合和因子结构比较，并通过将自杀意念作为标准变量来评估 CT-C（M-1）模型的标准有效性及其判别能力。本研究使用了阿根廷人大型和异质的开放式在线样本（N = 2164）。结果表明，以肯定词为参照项目的 CT-C（M-1）模型具有最合适的因子结构。该模型得出的因子分数具有良好的预测和判别能力。
