流行病学研究中心抑郁量表-10 的进一步完善:项目反应理论和经典测验理论的互补证据

Psych Pub Date : 2023-12-20 DOI:10.3390/psych6010002
A. Padmanabhanunni, T. Pretorius
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摘要

对大学生群体进行心理健康评估,尤其是抑郁症评估,对于有效干预和支持至关重要。本研究采用经典测验理论和项目反应理论,在南非西开普省的 322 名大学生中调查了流行病学研究中心抑郁量表-10(CES-D10)的心理测量特性。此外,还使用感知压力量表、生活满意度量表和贝克无望感量表简表对参与者进行了评估。结果显示,CES-D10 的 Cronbach's alpha 和 McDonald's omega 可靠性指数令人满意。然而,在探索性和确认性因素分析(CFA)以及 Rasch 分析等多个指标中,项目 8 被认为存在问题;因此,建议排除该项目,以提高量表性能。与 10 个项目的量表相比,9 个项目的版本在 CFA 中显示出更高的拟合度和更好的结构效度。CES-D10 的得分与感知压力和无望感呈正相关,与生活满意度呈负相关,这支持了量表的标准相关效度。该研究通过纳入 Rasch 分析,扩展了 CES-D10 的心理测量验证文献,强调了使用多种统计框架获得可靠结果的益处。这些结果对发展中国家大学生的心理健康评估具有现实意义,为早期干预提供了一种循证工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Further Refinement of the Center for Epidemiological Studies Depression Scale-10: Complementary Evidence from Item Response Theory and Classical Test Theory
The assessment of mental health, particularly depression, in university student populations is crucial for effective intervention and support. This study investigates the psychometric properties of the Center for Epidemiological Studies Depression Scale-10 (CES-D10) among 322 university students in the Western Cape province of South Africa, employing both classical test theory and item response theory. Participants were also assessed using the Perceived Stress Scale, the Satisfaction with Life Scale, and a short form of the Beck Hopelessness Scale. The results reveal satisfactory reliability indices for the CES-D10 based on Cronbach’s alpha and McDonald’s omega. However, Item 8 was identified as problematic across multiple metrics, including exploratory and confirmatory factor analysis (CFA) and Rasch analysis; therefore, the exclusion of this item is recommended for improved scale performance. The 9-item version displayed superior fit in the CFA and better construct validity than the 10-item scale. Scores on the CES-D10 were positively correlated with perceived stress and hopelessness and negatively correlated with life satisfaction, supporting the criterion-related validity of the scale. The study extends the psychometric validation literature of the CES-D10 by incorporating Rasch analysis, underscoring the benefits of using multiple statistical frameworks to achieve robust findings. These results have relevance for mental health assessment among university students in developing contexts, providing an evidence-based tool for early intervention.
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