The Fear of COVID-19 Scale: A meta-analytic structural equation modeling approach.

IF 3.3 2区 心理学 Q1 PSYCHOLOGY, CLINICAL
Desirée Blázquez-Rincón, Raimundo Aguayo-Estremera, Zainab Alimoradi, Elahe Jafari, Amir H Pakpour
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Abstract

The widespread administration and multiple validations of the Fear of COVID-19 Scale (FCV-19S) in different languages have highlighted the controversy over its underlying structure and the resulting reliability index. In the present study, a meta-analysis based on structural equation modeling (MASEM) was conducted to assess the internal structure of the seven-item, 5-point Likert-type FCV-19S version, estimate an overall reliability index from the underlying model that best reflected the internal structure (one τ-equivalent factor, one congeneric factor, or two-factor models), and perform moderator analyses for the model-implied interitem correlations and estimated factor loadings. A Pearson interitem correlation matrix was obtained for 48 independent studies, from which a pooled matrix was calculated following a random-effects multivariate meta-analysis. The results from the one-stage MASEM analysis showed that the two-factor model properly fitted the pooled matrix, while the τ-equivalent and congeneric one-factor models did not. Even though, the use of a bifactor model exhibited the predominance of the general factor over the domain-specific ones. High omega coefficients were obtained for the entire scale (.91) and the psychological (.83) and physiological (.83) symptoms subscales. Moderator analyses evidenced an increase in the estimated factor loadings, as well as in the reliability of the FCV-19S, when the standard deviation of the total scores increased and when the FCV-19S was administered to specific (vs. general) populations. The FCV-19S can be therefore considered as a highly related two-factor scale whose reliability makes it suitable for applied and research purposes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

新冠肺炎恐惧量表:一种元分析结构方程建模方法。
新冠肺炎恐惧量表(FCV-19S)在不同语言中的广泛使用和多次验证突出了对其潜在结构和由此产生的可靠性指数的争议。在本研究中,进行了一项基于结构方程建模(MASEM)的荟萃分析,以评估七项、5点Likert型FCV-19S版本的内部结构,从最能反映内部结构的基础模型(一个τ-等效因子、一个同类因子或两个因子模型)中估计总体可靠性指数,并对模型隐含的系统间相关性和估计的因子负荷进行慢化剂分析。获得48项独立研究的Pearson项目间相关矩阵,根据随机效应多变量荟萃分析计算汇总矩阵。一阶段MASEM分析的结果表明,双因子模型正确地拟合了合并矩阵,而τ-等价和同类单因子模型则不符合。尽管如此,双因子模型的使用显示出一般因子比特定领域因子的优势。整个量表(.91)以及心理症状(.83)和生理症状(0.83)分量表都获得了高ω系数。当总分的标准差增加时,以及当FCV-19S给药于特定(相对于一般)人群时,适度分析证明了估计因子负荷的增加,以及FCV-19S的可靠性的增加。因此,FCV-19S可以被认为是一个高度相关的双因素量表,其可靠性使其适合应用和研究目的。(PsycInfo数据库记录(c)2023 APA,保留所有权利)。
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来源期刊
Psychological Assessment
Psychological Assessment PSYCHOLOGY, CLINICAL-
CiteScore
5.70
自引率
5.60%
发文量
167
期刊介绍: Psychological Assessment is concerned mainly with empirical research on measurement and evaluation relevant to the broad field of clinical psychology. Submissions are welcome in the areas of assessment processes and methods. Included are - clinical judgment and the application of decision-making models - paradigms derived from basic psychological research in cognition, personality–social psychology, and biological psychology - development, validation, and application of assessment instruments, observational methods, and interviews
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