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使用社会恐惧症和焦虑症量表的替代因子分析结构来识别社交恐惧的亚类别。

Identifying sub-categories of social fears using an alternative factor analytic structure of the Social Phobia and Anxiety Inventory.

机构信息

University of Cyprus, Cyprus.

University of Cyprus, Cyprus.

出版信息

Psychiatry Res. 2017 May;251:304-311. doi: 10.1016/j.psychres.2017.02.040. Epub 2017 Feb 20.

Abstract

AIMS

This study evaluates an alternative factor structure of the Social Phobia and Anxiety Inventory (Turner et al., 1989), a widely used measure of social anxiety. Existing models ignore variance due to the different social contexts where social fears are expressed.

METHOD

Taking a different approach to scoring than previous studies, this investigation proposes a new model, which, in addition to 4-5 symptom dimensions, is able to capture the situations (strangers, authority figures, members of the opposite sex and people in general) that are of concern to the examinee. To test this model, all 96 items of the Social Phobia scale, rather than the average of the sub-items of its 23 questions were subjected to confirmatory factor analysis.

RESULTS

The model shows good fit and is superior to models ignoring the "situation" factors, which show good predictive validity in respect to real life demographics.

CONCLUSION

Utilization of all single questions of the SPAI can capture a wider range of social fears related to social anxiety than using the average of the items, which has implications for the understanding and clinical assessment of social anxiety.

摘要

目的

本研究评估了社交恐惧症和焦虑症量表(Turner 等人,1989 年)的另一种因子结构,该量表是一种广泛用于测量社交焦虑的工具。现有模型忽略了由于不同社交情境下表达社交恐惧的差异所导致的方差。

方法

与之前的研究相比,本研究采用了不同的评分方法,提出了一种新的模型,除了 4-5 个症状维度外,该模型还能够捕捉到令受检者担忧的情境(陌生人、权威人物、异性和一般人)。为了验证该模型,社会恐惧症量表的 96 个项目(而不是其 23 个问题的子项的平均值)都被进行了验证性因素分析。

结果

该模型拟合良好,优于忽略“情境”因素的模型,这些模型在与现实生活人口统计学相关的预测有效性方面表现良好。

结论

利用 SPAI 的所有单项问题可以比使用项目平均值更能捕捉到与社交焦虑相关的更广泛的社交恐惧,这对社交焦虑的理解和临床评估具有重要意义。

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