William P Jimenez, Asiye Zeytonli, Yasmine Nabulsi, Xiaoxiao Hu
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(Don't fear) the factors: An item-level meta-analysis of the fear of COVID-19 Scale's factor structure and measurement invariance.
The global COVID-19 pandemic saw marked research and clinical interest in evaluating pandemic-related distress, namely fear and anxiety regarding infection and death. The most widely used and earliest developed measure of COVID-19 distress is Ahorsu et al. (2022) seven-item Fear of COVID-19 Scale (FCV-19S). To investigate the factor structure and measurement equivalence of the FCV-19S, we conducted an item-level meta-analysis synthesizing 1155 effect sizes across k = 55 independent samples comprising N = 71,161 individuals. We found that a two-factor measurement model comprising a four-item Emotional factor and a three-item Psychosomatic factor exhibits better fit than the originally proposed single-factor measurement model. Moreover, the bidimensional FCV-19S exhibits partial scalar/strong invariance across the general population, healthcare workers, schoolteachers, and university students as well as partial metric/weak invariance across samples from Bangladesh, China, Japan, Pakistan, Poland, and Portugal. Despite the theoretical and practical implications of these findings, more primary research across a wider range of sample types and countries is undoubtedly needed for further evaluation of the FCV-19S's psychometric properties and generalizability.
期刊介绍:
Stress is a normal component of life and a number of mechanisms exist to cope with its effects. The stresses that challenge man"s existence in our modern society may result in failure of these coping mechanisms, with resultant stress-induced illness. The aim of the journal therefore is to provide a forum for discussion of all aspects of stress which affect the individual in both health and disease.
The Journal explores the subject from as many aspects as possible, so that when stress becomes a consideration, health information can be presented as to the best ways by which to minimise its effects.