Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale

Praharaj, Samir Kumar (2020) Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale. Indian Journal of Psychiatry, 62 (5). pp. 481-487. ISSN 0019-5545

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Abstract

Background: Access to excessive information from multiple sources relating to COVID-19 in a short span of time can have detrimental effects on individuals. Aim: The study aims to validate Corona Information Overload Scale (CoIOS) by adaptation of Cancer Information Overload scale (CIOS) on English speaking Indian citizens. Materials and Methods: An online survey was carried out using Google Form on 300 individuals out of whom 183 responded. The CoIOS was to be filled up. It was an 8 item Likert type scale with responses ranging from “strongly agree” to “strongly disagree.” Results: Principal components analysis showed two components with an initial eigenvalue > unity (3.38 and 1.09), with 42.33% and 13.64% of variance, respectively, making a total of 55.97% variance. The composite reliability value was also found to be 0.789 and 0.815 for factors I and II, respectively, convergent validity and discriminant validity calculation also affirmed good construct reliability. Conclusion: CoIOS appears to be a valid and reliable scale for measuring health information overload in relation to COVID-19. However, it has a two factor component, namely “excessiveness of information” and “rejection of information.”

Item Type: Article
Uncontrolled Keywords: Corona information overload scale; COVID-19; information overload.
Subjects: Medicine > KMC Manipal > Psychiatry
Depositing User: KMC Library
Date Deposited: 13 Jul 2021 10:33
Last Modified: 13 Jul 2021 10:33
URI: http://eprints.manipal.edu/id/eprint/157013

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