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URL: 
http://aoh.ssu.ac.ir/article-1-298-en.html   
                    
                    
                    
					 
					
                 
                
                    
                    
                    
                    1- Department of Occupational Health Engineering, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran•  Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran 
 2- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran•  Department of public Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran 
 3- Department of Occupational Health and safety Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran 
 4- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran• Department of public Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran 
 5- Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran• Vice Chancellery of Health, Mashhad University of Medical Sciences, Mashhad, Iran 
 6- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran. Department of Occupational Health and safety Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran , poursadeghiyan@gmail.com
                    
                    
                    Abstract:       (1546 Views)
                    
                    
                    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. 
                    
                    
                    
                    
                    
                    Type of Study:  
Research |
                    Subject: 
                    
Special  Received: 2022/01/4 | Accepted: 2022/03/10 | Published: 2022/05/29