Department of Psychology, University at Albany, SUNY, Albany, NY 12222, USA.
Psychiatry Res. 2011 Mar 30;186(1):128-32. doi: 10.1016/j.psychres.2010.08.018. Epub 2010 Sep 16.
Depression has a huge societal impact, making accurate measurement paramount. While there are several available measures, the Center for Epidemiological Studies Depression Scale (CESD) is a popular assessment tool that has wide applicability in the general population. In order to reflect modern diagnostic criteria and improve upon psychometric limitations of its predecessor, the Center for Epidemiologic Studies Depression Scale--Revised (CESD-R) was recently created, but has yet to be publicized. This study explored psychometric properties of the CESD-R across a large community sample (N=7389) and smaller student sample (N=245). A newly proposed algorithmic classification method yielded base-rates of depression consistent with epidemiological results. Factor analysis suggested a unidimensional factor structure, but important utility for two separate symptom clusters. The CESD-R exhibited good psychometric properties, including high internal consistency, strong factor loadings, and theoretically consistent convergent and divergent validity with anxiety, schizotypy, and positive and negative affect. Results suggest the CESD-R is an accurate and valid measure of depression in the general population with advantages such as free distribution and an atheoretical basis.
抑郁症对社会有巨大影响,因此准确测量至关重要。虽然有几种可用的测量方法,但流行病学研究抑郁量表(CESD)是一种广泛适用于普通人群的流行评估工具。为了反映现代诊断标准并改进其前身的心理测量学限制,最近创建了流行病学研究抑郁量表修订版(CESD-R),但尚未公布。本研究在一个大型社区样本(N=7389)和较小的学生样本(N=245)中探讨了 CESD-R 的心理测量特性。一种新提出的算法分类方法得出的抑郁发生率与流行病学结果一致。因子分析表明存在单维因子结构,但对于两个单独的症状群具有重要的实用性。CESD-R 表现出良好的心理测量特性,包括高内部一致性、强因子负荷以及与焦虑、精神分裂症特质、积极和消极情绪的理论一致的收敛和发散效度。结果表明,CESD-R 是一种准确有效的一般人群抑郁症测量工具,具有免费分发和非理论基础等优点。