Prediction of high-risk behaviors based on emotional intelligence and sensation seeking among drivers in Shiraz

Pages:432-435
Mohammad Eftekhrifar and Ali Naseri (Department of Psychology, Firoozabad Branch, Islamic Azad University, Firoozabad, Fars, Iran)

The purpose of this research was to predict high-risk behaviors based on emotional intelligence and sensation seeking among drivers in Shiraz in 2018. The Method was descriptive – correlational study. Population contained of 230 drivers of above regions 2 and 3 in Shiraz. The sample consisted of 230 drivers from regions 2 and 3 via accessible sampling. Data collection tools included Siberia Sherring Emotional Intelligence questionnaire, Zuckerman Sensation Seeking Scale and Risen & et al High- risk Scale. The results of the analysis of the data showed that there was significant relationship between high-risk behaviors and emotional intelligence among drivers, as emotional intelligence can predict high-risk behaviors among drivers. Also there was significant relationship between high-risk behaviors and sensation seeking among drivers, as sensation seeking can predict high-risk behaviors among drivers. Results showed that emotional intelligence and sensation seeking can predict high-risk behaviors among drivers in Shiraz. Therefore it is necessary to take steps to increase emotional intelligence and decreasing sensation seeking to decrease high-risk behaviors among drivers and then decreased many road accidents.