Measuring various aspects of coronavirus anxiety: A psychometric evaluation of Pandemic anxiety and Coronophobia scales from the latent and network perspective

BackgroundSince the outbreak of COVID-19, understanding and describing the changes in experiences related to the pandemic and its correlates have become crucial. The current study aims to provide a psychometric evaluation and examination of the relationship of two COVID-related anxiety scales through the latent and network approach.MethodsThe data was collected from the same participants at two time points (Nwave 1 = 1283; Nwave 2 = 1326). The study examined the psychometric properties of the Pandemic Anxiety Scale and Coronaphobia scale. It also examined the factor structure, invariance and relationship with selected variables through both the latent and network approach.ResultsThe PAS and Coronaphobia scale provided good fit and psychometric properties. The results also indicated that distinguishing between them is crucial as they were related differently to various variables. The global network models provided a more complex insight in their connections with the set of selected variables.ConclusionThe PAS and Coronaphobia scales are brief and valid measures that can be used in research looking at mental health issues related to the pandemic. The present study shows a unique pattern of relationships of these scales with other variables, extending previous studies into the topic of COVID-related anxiety.