Examining the Latent Dimensions of Social Anxiety Disorder.

IF 1.7 4区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY
Psychological Reports Pub Date : 2025-04-01 Epub Date: 2023-02-11 DOI:10.1177/00332941231156815
Imelu G Mordeno, Jimayma D Bigcas, Emelyn R Mordeno
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Abstract

While the body of literature has investigated the latent dimensions of Social Anxiety Disorder (SAD), only few have directly anchored in the DSM-5 SAD symptoms. Similarly, a continuing issue on measuring mental health disorders pertains to whether a symptom's frequency, intensity, or both, are appropriate and sufficient indicators of severity. To address this gap, the present study developed and validated a DSM-5-based measurement tool, the Social Anxiety Symptom Severity Inventory (SASSI), which assesses both the intensity (intensity of disturbance) and frequency (frequency of occurrence) of SAD symptoms. In study 1 (n = 6458, college students), the results revealed a two-factor structure using exploratory structural equation modeling. In study 2 (n = 425, left-behind emerging adults), confirmatory factor analysis, measurement invariance testing, and latent class analysis were used. Findings demonstrated the importance of using both frequency and intensity of symptoms in assessing SAD severity. Moreover, a five-class solution best fitted the sample. Studies 1 and 2 demonstrated the good psychometric properties of SASSI and filled an important gap among available measures in assessing SAD severity through symptom frequency and intensity.

研究社交焦虑症的潜在维度。
尽管大量文献对社交焦虑症(SAD)的潜在维度进行了研究,但只有少数文献直接以 DSM-5 SAD 症状为基础。同样,衡量心理健康障碍的一个持续性问题是,症状的频率、强度或两者是否是适当且充分的严重程度指标。为了弥补这一不足,本研究开发并验证了基于 DSM-5 的测量工具--社交焦虑症状严重程度量表(SASSI),该量表可同时评估 SAD 症状的强度(干扰强度)和频率(发生频率)。在研究 1(n = 6458,大学生)中,通过探索性结构方程建模,结果显示了双因素结构。在研究 2(n = 425,留守新兴成人)中,使用了确认性因子分析、测量不变性测试和潜类分析。研究结果表明,在评估 SAD 严重程度时,同时使用症状的频率和强度非常重要。此外,五类解决方案最适合样本。研究 1 和研究 2 证明了 SASSI 具有良好的心理测量特性,并填补了通过症状频率和强度评估 SAD 严重程度的现有测量方法中的一个重要空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Psychological Reports
Psychological Reports PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
5.10
自引率
4.30%
发文量
171
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