Indian Journal of Positive Psychology

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Prediction of High-Risk Behaviors Based on Emotional Intelligence and Sensation Seeking among Drivers in Shiraz


Affiliations
1 Department of Psychology, Firoozabad Branch, Islamic Azad University, Firoozabad, Fars, Iran, Islamic Republic of
     

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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.

Keywords

High-Risk Behaviors, Emotional Intelligence, Sensation Seeking.
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  • Prediction of High-Risk Behaviors Based on Emotional Intelligence and Sensation Seeking among Drivers in Shiraz

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Authors

Mohammad Eftekhrifar
Department of Psychology, Firoozabad Branch, Islamic Azad University, Firoozabad, Fars, Iran, Islamic Republic of
Ali Naseri
Department of Psychology, Firoozabad Branch, Islamic Azad University, Firoozabad, Fars, Iran, Islamic Republic of

Abstract


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.

Keywords


High-Risk Behaviors, Emotional Intelligence, Sensation Seeking.

References





DOI: https://doi.org/10.15614/ijpp%2F2018%2Fv9i3%2F181045