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- W2953240103 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." @default.
- W2953240103 created "2019-06-27" @default.
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- W2953240103 date "2018-09-01" @default.
- W2953240103 modified "2023-09-23" @default.
- W2953240103 title "Prediction of High-Risk Behaviors Based on Emotional Intelligence and Sensation Seeking among Drivers in Shiraz" @default.
- W2953240103 doi "https://doi.org/10.15614/ijpp/2018/v9i3/181045" @default.
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