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

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...

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Autor principal: Lathabhavan, Remya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489367/
https://www.ncbi.nlm.nih.gov/pubmed/34629997
http://dx.doi.org/10.1007/s11469-021-00657-1
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author Lathabhavan, Remya
author_facet Lathabhavan, Remya
author_sort Lathabhavan, Remya
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description 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.
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spelling pubmed-84893672021-10-05 A Psychometric Analysis of Fear of COVID-19 Scale in India Lathabhavan, Remya Int J Ment Health Addict Original Article 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. Springer US 2021-10-04 2023 /pmc/articles/PMC8489367/ /pubmed/34629997 http://dx.doi.org/10.1007/s11469-021-00657-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Lathabhavan, Remya
A Psychometric Analysis of Fear of COVID-19 Scale in India
title A Psychometric Analysis of Fear of COVID-19 Scale in India
title_full A Psychometric Analysis of Fear of COVID-19 Scale in India
title_fullStr A Psychometric Analysis of Fear of COVID-19 Scale in India
title_full_unstemmed A Psychometric Analysis of Fear of COVID-19 Scale in India
title_short A Psychometric Analysis of Fear of COVID-19 Scale in India
title_sort psychometric analysis of fear of covid-19 scale in india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489367/
https://www.ncbi.nlm.nih.gov/pubmed/34629997
http://dx.doi.org/10.1007/s11469-021-00657-1
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