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使用项目反应理论,从多个等距量表的分数中获得了社交焦虑障碍的高度一致性。

High agreement was obtained across scores from multiple equated scales for social anxiety disorder using item response theory.

机构信息

Centre for Research Excellence in Mental Health and Substance Use, UNSW Sydney, Sydney, Australia; National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.

Centre for Mental Health Research, Australian National University, Canberra, Australia.

出版信息

J Clin Epidemiol. 2018 Jul;99:132-143. doi: 10.1016/j.jclinepi.2018.04.003. Epub 2018 Apr 10.

Abstract

OBJECTIVES

There is no standardized approach to the measurement of social anxiety. Researchers and clinicians are faced with numerous self-report scales with varying strengths, weaknesses, and psychometric properties. The lack of standardization makes it difficult to compare scores across populations that use different scales. Item response theory offers one solution to this problem via equating different scales using an anchor scale to set a standardized metric. This study is the first to equate several scales for social anxiety disorder.

STUDY DESIGN AND SETTING

Data from two samples (n = 3,175 and n = 1,052), recruited from the Australian community using online advertisements, were used to equate a network of 11 self-report social anxiety scales via a fixed parameter item calibration method.

RESULTS

Comparisons between actual and equated scores for most of the scales indicted a high level of agreement with mean differences <0.10 (equivalent to a mean difference of less than one point on the standardized metric).

CONCLUSION

This study demonstrates that scores from multiple scales that measure social anxiety can be converted to a common scale. Rescoring observed scores to a common scale provides opportunities to combine research from multiple studies and ultimately better assess social anxiety in treatment and research settings.

摘要

目的

目前尚缺乏社会焦虑症的标准化测量方法。研究人员和临床医生面临着众多具有不同优势、劣势和心理测量特性的自评量表。缺乏标准化使得难以比较使用不同量表的人群之间的分数。项目反应理论通过使用锚定量表来设置标准化度量,从而为解决这一问题提供了一种解决方案。本研究首次对几种社交焦虑症量表进行了均等化处理。

研究设计和设置

使用来自澳大利亚社区的在线广告招募的两个样本(n=3175 和 n=1052)的数据,通过固定参数项目校准方法,对 11 种自我报告社交焦虑量表网络进行了均等化处理。

结果

大多数量表的实际得分与均等化得分之间的比较表明,一致性水平很高,平均差异<0.10(相当于标准化度量上的差异小于一个点)。

结论

本研究表明,可以将测量社交焦虑的多个量表的分数转换为通用量表。将观察到的分数重新评分到通用量表上,可以为合并来自多个研究的研究提供机会,并最终在治疗和研究环境中更好地评估社交焦虑。

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