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焦虑敏感性指数3的探索性结构方程模型分析

Exploratory Structural Equation Modeling Analysis of the Anxiety Sensitivity Index 3.

作者信息

Lim Young-Jin

机构信息

Gachon University, Seongnam, Korea.

出版信息

Alpha Psychiatry. 2024 Jun 1;25(3):337-343. doi: 10.5152/alphapsychiatry.2024.241520. eCollection 2024 Jun.

Abstract

OBJECTIVE

Anxiety sensitivity is associated with the onset and progression of various emotional disorders. The Anxiety Sensitivity Index 3 (ASI-3) is a self-report scale for anxiety sensitivity. This study aims to resolve the ongoing controversy about the factorial structure of the ASI-3 using exploratory structural equation modeling (ESEM), a newly advanced technique.

METHODS

Confirmatory factor analysis (CFA), ESEM, bifactor-CFA, and bifactor-ESEM were used to investigate the factorial structure of the ASI-3. Three hundred Korean college students (female = 195, age: 21.74 ± 2.34) filled out the ASI-3 and the Distress Intolerance Index.

RESULTS

The bifactor-ESEM model exhibited a model fit superior to the 4 alternative models. The general factor showed higher loadings and reliability and explained common variance than the 3 specific factors in the bifactor-ESEM model. Most items reflected the global factor, but 6 items (Items 2, 3, 5, 7, 10, and 17) from the specific factors had insufficient loadings. Moreover, the global factor of the ASI-3 was associated with distress intolerance scores, indicating adequate criterion-related validity.

CONCLUSION

The factorial structure of the ASI-3 is best described as a bifactor-ESEM model for Korean college students. Additionally, the bifactor-ESEM model of the ASI-3 includes a strong global factor that explains a large amount of the observed variance in the ASI-3 items.

摘要

目的

焦虑敏感性与多种情绪障碍的发作和进展相关。焦虑敏感性指数3(ASI-3)是一种用于焦虑敏感性的自我报告量表。本研究旨在使用探索性结构方程模型(ESEM)这一最新的先进技术来解决关于ASI-3因子结构的持续争议。

方法

使用验证性因子分析(CFA)、ESEM、双因素CFA和双因素ESEM来研究ASI-3的因子结构。300名韩国大学生(女性 = 195名,年龄:21.74 ± 2.34)填写了ASI-3和痛苦不耐受指数。

结果

双因素ESEM模型的拟合优度优于其他4个替代模型。在双因素ESEM模型中,一般因素显示出更高的载荷和信度,并且比3个特定因素解释了更多的共同方差。大多数项目反映了全局因素,但特定因素中的6个项目(项目2、3、5、7、10和17)载荷不足。此外,ASI-3的全局因素与痛苦不耐受得分相关,表明具有足够的效标关联效度。

结论

对于韩国大学生而言,ASI-3的因子结构最好描述为双因素ESEM模型。此外,ASI-3的双因素ESEM模型包含一个强大的全局因素,该因素解释了ASI-3项目中大量的观测方差。

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