韩国社区样本中社交互动焦虑量表-6和社交恐惧症量表-6的双因素模型
Bifactor Modeling of the Social Interaction Anxiety Scale-6 and the Social Phobia Scale-6 in a Korean Community Sample.
作者信息
Lim Young-Jin
机构信息
Department of Psychology, Gachon University, 13120 Seongnam, Republic of Korea.
出版信息
Alpha Psychiatry. 2025 Aug 28;26(4):46107. doi: 10.31083/AP46107. eCollection 2025 Aug.
BACKGROUND
The Social Interaction Anxiety Scale-6 (SIAS-6) and Social Phobia Scale-6 (SPS-6) are self-reported measures of social anxiety. The aim of this study was to identify the best model for SIAS-6 and SPS-6 using the newly advanced method of exploratory structural equation modeling (ESEM).
METHODS
Both confirmatory factor analysis (CFA) and ESEM were utilized to assess the factor structure of the SIAS-6 and SPS-6. Three hundred Korean adults ( = 150, aged: 39.28 ± 10.91 years) participated in an online survey and responded to the SIAS-6 and SPS-6 questionnaires.
RESULTS
The findings showed that the bifactor ESEM and bifactor CFA models were a better fit than the other models. General factors had high loading values and reliability coefficients, whereas specific factors had moderate loading values and reliability coefficients. Additionally, measurement invariance across sexes was established.
CONCLUSION
This study demonstrated that bifactor models provide a unified perspective on the varying viewpoints regarding the relationship between social interaction and social performance anxiety.
背景
社交互动焦虑量表 -6（SIAS -6）和社交恐惧症量表 -6（SPS -6）是社交焦虑的自我报告测量工具。本研究的目的是使用探索性结构方程建模（ESEM）这一最新先进方法，确定适用于 SIAS -6 和 SPS -6 的最佳模型。
方法
采用验证性因素分析（CFA）和 ESEM 来评估 SIAS -6 和 SPS -6 的因素结构。300 名韩国成年人（男性 = 150 名，年龄：39.28 ± 10.91 岁）参与了一项在线调查，并对 SIAS -6 和 SPS -6 问卷进行了回答。
结果
研究结果表明，双因素 ESEM 和双因素 CFA 模型比其他模型拟合度更好。一般因素具有较高的载荷值和信度系数，而特定因素具有中等的载荷值和信度系数。此外，还建立了跨性别的测量不变性。
结论
本研究表明，双因素模型为社交互动与社交表现焦虑之间关系的不同观点提供了统一的视角。
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