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认知与躯体焦虑状态-特质量表的维度

Dimensionality of the State-Trait Inventory of Cognitive and Somatic Anxiety.

作者信息

Styck Kara M, Rodriguez Madeline C, Yi Esther H

机构信息

Northern Illinois University, DeKalb, IL, USA.

出版信息

Assessment. 2022 Mar;29(2):103-127. doi: 10.1177/1073191120953628. Epub 2020 Aug 29.

Abstract

The State-Trait Inventory of Cognitive and Somatic Anxiety (STICSA) is a commonly administered self-report instrument of state-trait cognitive and somatic anxiety. Extant research has consistently supported the intended oblique two-factor scoring structure for the STICSA. However, this model assumes that population-level data have (or approximate) a simple structure and that item-level variance is unidimensional. These assumptions may not be tenable and have unintended consequences for STICSA subscore interpretation. Consequently, we tested these assumptions by fitting confirmatory and exploratory structural equation models to STICSA scores for a diverse sample of college students enrolled at a large Southwestern university in the United States ( = 635). Results indicated that cognitive and somatic factors are not equally robust and that STICSA items appear to measure a nonnegligible mixture of both latent cognitive and somatic anxiety. It is recommended that future research use exploratory structural equation model in tandem with CFA to directly model data complexity.

摘要

《认知与躯体焦虑状态-特质量表》(STICSA)是一种常用的关于状态-特质认知与躯体焦虑的自陈式量表。现有研究一直支持STICSA预期的斜交双因素计分结构。然而,该模型假定总体水平数据具有(或近似)简单结构,且项目水平方差是单维的。这些假设可能站不住脚,并且会给STICSA子分数的解释带来意想不到的后果。因此,我们通过对美国西南部一所大型大学的不同大学生样本(n = 635)的STICSA分数拟合验证性和探索性结构方程模型来检验这些假设。结果表明,认知因素和躯体因素的稳健性并不相同,并且STICSA项目似乎测量了潜在认知焦虑和躯体焦虑的不可忽视的混合情况。建议未来的研究将探索性结构方程模型与验证性因素分析结合使用,以直接对数据复杂性进行建模。

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