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Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale
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Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale
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Journal Article
Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale
2020
Overview
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.\"
Publisher
Wolters Kluwer India Pvt. Ltd,Medknow Publications and Media Pvt. Ltd,Medknow Publications & Media Pvt. Ltd,Wolters Kluwer - Medknow,Wolters Kluwer Medknow Publications
