The Fear of COVID-19 Scale: A Reliability Generalization Meta-analysis

Published: 14 September 2020| Version 1 | DOI: 10.17632/dtwdf566xm.1
Desirée Blázquez-Rincón,


A reliability generalization meta-analysis was carried out to estimate the average reliability of the 7-item, 5-point Likert-type Fear of Covid-19 Scale (FCV-19S), one of the most widespread scales developed around the COVID-19 pandemic. Different reliability coefficients from Classical Test Theory and the Rasch Measurement Model were meta-analyzed, heterogeneity among the most reported reliability estimates was examined by searching for moderators, and a predictive model to estimate the expected reliability was proposed. At least one reliability estimate was available for a total of 44 independent samples out of 42 studies, being that Cronbach’s alpha was most frequently reported. The different coefficients exhibited pooled estimates ranging from .85 to .90. The moderator analyses led to a predictive model in which the standard deviation of FCV-19S scores and the data availability explained 43.6% of the total variability among alpha coefficients. The FCV-19S has been shown to be consistently reliable regardless of the moderator variables examined.



Universidad Autonoma de Madrid, Universidad a Distancia de Madrid, Universidad de Murcia


Reliability Analysis, Fear, Meta-Analysis, COVID-19