A reliability generalization meta-analysis was carried out to estimate the average reliability of the seven-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 coefficients exhibited pooled estimates ranging from .85 to .90. The moderator analyses led to a predictive model in which the standard deviation of scores explained 36.7% of the total variability among alpha coefficients. The FCV-19S has been shown to be consistently reliable regardless of the moderator variables examined.

进行了可靠性泛化荟萃分析，以估计七项、5 点李克特型 COVID-19 恐惧量表 (FCV-19S) 的平均可靠性，这是围绕 COVID-19 开发的最广泛的量表之一大流行。对经典测试理论和Rasch测量模型的不同信度系数进行荟萃分析，通过寻找调节因子检查报告最多的信度估计之间的异质性，并提出估计预期信度的预测模型。在 42 项研究中，总共 44 个独立样本至少有一个可靠性估计可用，因为 Cronbach 的 α 是最常报告的。系数展示了从 0.85 到 0.90 的汇总估计值。调节分析产生了一个预测模型，其中分数的标准差解释了 alpha 系数之间总变异性的 36.7%。无论检查的调节变量如何，FCV-19S 已被证明始终可靠。