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

Indian journal of positive psychology Pub Date : 2018-09-01 DOI:10.15614/IJPP/2018/V9I3/181045

Mohammad Eftekhrifar, A. Naseri

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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.

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基于情绪智力和感觉寻求的设拉子地区司机高危行为预测

本研究的目的是基于2018年设拉子地区司机的情绪智力和感觉寻求来预测高危行为。方法为描述性-相关性研究。设拉子2区、3区以上司机230人。样本由来自2区和3区的230名司机组成。数据收集工具包括西伯利亚谢林情绪智力问卷、祖克曼感觉寻求量表和Risen等高风险量表。数据分析结果表明，驾驶员的高危行为与情绪智力之间存在显著关系，因为情绪智力可以预测驾驶员的高危行为。驾驶员的高危行为与感觉寻求之间存在显著相关，感觉寻求可以预测驾驶员的高危行为。结果表明，情绪智力和感觉寻求可以预测设拉子地区司机的高危行为。因此，有必要采取措施提高情商，减少感觉，以减少司机的高风险行为，从而减少许多交通事故。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Indian journal of positive psychology

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