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A Psychometric Analysis of Fear of COVID-19 Scale in India.

Remya Lathabhavan
Published in: International journal of mental health and addiction (2021)
COVID-19 has had a serious negative impact on the mental health of people around the world. The present study analyses the psychometric properties of Fear of COVID-19 Scale (FCV-19S) in the Indian context. The study checks the one-factor and two-factor structures of the measure. Data were collected from 992 respondents from India. Structural equation modeling was performed to check the construct validity after checking the factorial validity, reliability, and model fit. Both one-factor and two-factor models had good psychometric properties. FCV-19S had significant relationships with stress and wellbeing. This study can serve as a reference to practitioners and researchers to understand and analyze fear of COVID among individuals and thus to support the mental health wellbeing during the pandemic.
Keyphrases
  • coronavirus disease
  • sars cov
  • mental health
  • psychometric properties
  • primary care
  • high resolution
  • artificial intelligence
  • general practice
  • stress induced