Development and standardization of a questionnaire to identify people at risk of addiction and substance use based on questionnaires of five-factor model of personality, emotional intelligence and resilience
Subject Areas :
1 - دانشجوی دکتری روانشناسی سلامت، دانشگاه خوارزمی، تهران، ایران
Keywords: resilience, personality, emotional intelligence, Keywords:Addiction, substance use,
Abstract :
Abstract Introduction: Given the importance of identifying people at risk of addiction and substance use and necessity of provide valid measurement tools in thisarea, present study aimed to development and standardization of a questionnaire to identify people at risk of addiction and substance use based on questionnaires of five-factor model of personality, emotional intelligence and resilience. Materials and Methods:The number of 300 (124 mal and 176 female) students were selected through available sampling from Kharazmi university and were assessed employing questionnairesof NEO personality, Bradberry- Greaves'emotional intelligence, Conner and Davidson' Resiliency, and Weed and Butcher'tendency to addiction. Data were analyzed based on Cronbach's alpha test, Pearson correlation coefficient and exploratory factor analysiswith using 22 vesion of SPSS software. Results:The results of the analysis led to the extraction of four factors, each of which had six indecators. Internal consistency reliability was operating in a range from 0/66 to 0/86. Criterion validity by examining the association between scores of the factors and tendency to addiction showed significant negative correlation between the tendency to addiction and first factor (r=-0.39, P<0.01), second factor (r=-0.30, P<0.01), third factor (r=-0.44, P<0.01), fourth factor (r=-0.40, P<0.01) and total scores ofextracted questionnaire (r=-0.57, P<0.01). Conclusion:Big five personality factores, emotional intelligence and resiliency not only significantly associated with addiction and substance use, also they are related structures that analysis of underlying components of them led to extractionof four factors that hadhigh validity and reliability, and can be used to predict vulnerability to addiction and substance use.
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