Psychometric Properties of Coronavirus Infection Risk Perception Questionnaire with a Working Life Approach

Abstract

Background: Coronavirus is a viral disease with a fast-spreading rate. It has become a pandemic. For preventing the covid-19 infection, respect for health protocols is necessary. The level of adherence to the protocols depends on one’s risk perception. To measure the level of risk perception, a valid and reliable measurement tool is needed. The present study is an attempt to evaluate the psychometric properties of the coronavirus infection risk perception (CIRP) questionnaire, with a working life approach. Methods: The article concentrated on the generation, translation, cross-cultural adaptation, and psychometric properties of the CIRP questionnaire. In this cross-sectional study, authors generated an item pool, extracted from the literature relating to risk perception in COVID-19 disease. 228 people participated in the study. The initial scale, consisting of 41 Items, was produced from literature. A scale, containing 26 Items, appeared as a result of Exploratory Factor Analysis (EFA). Cronbach’s alpha was used to measure the internal consistency. Data analysis was conducted at a 95% confidence level. Data were analyzed using the SPSS statistical version (V. 21). Results: Exploratory factor analysis of the scale, explained 45.3% of the variance observed. In addition to the analyses indicated, satisfactory results for internal consistency (Cronbach's alpha ranging from 0.72 to 0.87) and intra-class correlation (ranging from 0.79 to 0.94) were obtained. Conclusion: This study generated the Persian-language version of the CIRP, for Iranian individuals through psychometric testing, to measure risk perception. This questionnaire is reliable for measuring people's CIRP.