Structural validation of the Hamilton Depression Rating Scale
Structural validation of the Hamilton Depression Rating Scale
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DOI：
10.1023/b:joba.0000045340.38371.04
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发表时间：
2004-12-01
影响因子：
1.6
通讯作者：
Irwin, MR
中科院分区：
文献类型：
--
作者：
Cole, JC;Motivala, SJ;Irwin, MR
尽管汉密尔顿抑郁评定量表(HDRS)被大量使用，但还没有人使用验证性因素分析(CFA)来比较相互竞争的HDRS潜在结构。目前的研究承担了这项任务，根据先前提出的最稳定的潜在模型和由Cole和Motivala合理推导的新模型，对397名老年人的CFA进行了检验。CFA以其原始的一阶结构和层级相关的对应结构进行评估。所有层次模型的表现都明显好于它们的一阶模型。此外，科尔和莫蒂瓦拉层次模型在所有比较标准上都明显好于任何其他模型。然而，没有一个被测试的模型与表明该量表在心理测量、得分或内容方面的局限性的数据获得了足够的匹配。
Despite the prolific use of the Hamilton Depression Rating Scale (HDRS), there have been no prior studies using confirmatory factor analysis (CFA) to compare competing HDRS latent structures. The current study undertakes this task, examining CFAs on 397 older adults on the most stable latent models previously posited and a new rationally derived model by Cole and Motivala. CFAs were evaluated in their original first-order structure and in hierarchically related counterparts. All hierarchical models performed significantly better than their first-order counterparts. Moreover, the hierarchical Cole and Motivala model was significantly better on all comparative criteria than any of the other models. However, none of the tested models obtained sufficient fit with the data suggesting psychometric, scoring, or content limitations of the scale.