Suppr超能文献

医院焦虑和抑郁量表(HADS)维度评估中的方法学偏差。

Methodological artifacts in dimensionality assessment of the hospital anxiety and depression scale (HADS).

机构信息

Department of Methodology and Statistics TSB, Tilburg University, Tilburg, The Netherlands.

出版信息

J Psychosom Res. 2013 Feb;74(2):116-21. doi: 10.1016/j.jpsychores.2012.11.012. Epub 2013 Jan 14.

Abstract

OBJECTIVE

The hospital anxiety and depression scale (HADS) is a brief, self-administered questionnaire for the assessment of anxiety and depression in hospital patients. A recent review discussed the disagreement among different studies with respect to the dimensionality of the HADS, leading Coyne and Van Sonderen to conclude from this disagreement that the HADS must be abandoned. Our study argues that the disagreement is mainly due to a methodological artifact, and that the HADS needs revision rather than abandonment.

METHOD

We used Mokken scale analysis (MSA) to investigate the dimensionality of the HADS items in a representative sample from the Dutch non-clinical population (N=3643) and compared the dimensionality structure with the results that Emons, Sijtsma, and Pedersen obtained in a Dutch cardiac-patient sample.

RESULTS

We demonstrated how MSA can retrieve either one scale, two subscales, or three subscales, and that the result not only depends on the data structure but also on choices that the researcher makes. Two 5-item HADS scales for anxiety and depression seemed adequate. Four HADS items constituted a weak scale and contributed little to reliable measurement.

CONCLUSIONS

We argued that several psychometric methods show only one level of a hierarchical dimensionality structure and that users of psychometric methods are often unaware of this phenomenon and miss information about other levels. In addition, we argued that a theory about the attribute may guide the researcher but that well-tested theories are often absent.

摘要

目的

医院焦虑和抑郁量表(HADS)是一种简短的、供住院患者自评的焦虑和抑郁评估工具。最近的一篇综述讨论了不同研究对 HADS 维度划分的不一致性,这导致 Coyne 和 Van Sonderen 得出结论,认为 HADS 必须被放弃。我们的研究认为,这种不一致主要是由于方法学上的人为因素造成的,HADS 需要修订而不是被放弃。

方法

我们使用 Mokken 尺度分析(MSA)对荷兰非临床人群(N=3643)的代表性样本中的 HADS 项目进行了维度分析,并将维度结构与 Emons、Sijtsma 和 Pedersen 在荷兰心脏病人群中获得的结果进行了比较。

结果

我们展示了 MSA 如何能够提取一个量表、两个子量表或三个子量表,并且结果不仅取决于数据结构,还取决于研究人员的选择。两个 5 项 HADS 焦虑和抑郁量表似乎是足够的。四个 HADS 项目构成了一个较弱的量表,对可靠测量的贡献不大。

结论

我们认为,几种心理计量方法仅显示出层次维度结构的一个层次,而心理计量方法的使用者往往没有意识到这种现象,从而错过了其他层次的信息。此外,我们还认为,关于属性的理论可以指导研究人员,但经过充分验证的理论往往不存在。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验