Predicting high-risk behaviors based on emotional intelligence ,sensation seeking, coping styles, and tolerance to ambiguity
Subject Areas : Educational Science
elaheh naseri
1
,
Zainab khanjani
2
,
Abbas Bakhshipour
3
1 - Department of Psychology, Faculty of Educational Sciences and Psychology, Tabriz University, Tabriz, Iran
2 - Department of Psychology, Faculty of Educational Sciences and Psychology, Tabriz University, Tabriz, Iran
3 - Department of Psychology, Faculty of Educational Sciences and Psychology, Tabriz University, Tabriz, Iran
Keywords: emotional intelligence, excitement, Key words: Risky behaviors, coping styles and tolerance of ambiguity,
Abstract :
The purpose of this study was to predict risky behaviors based on emotional intelligence, sensation seeking, coping styles, and tolerance of ambiguity. The research method was descriptive and correlational. The population of the study consisted grade ten male students of Tabriz city and 320 students sampled by cluster sampling. To collect data, high-risk behavior questionnaire, a revised Shoutte Emotional Intelligence Scale, Mac-line Tolerance Scale, and Zuckerman's sensation seeking Scale were used. The results of this study showed that emotional evaluation, malice, problem-oriented coping style and tolerance of ambiguity play an important role in predicting high-risk behaviors. In other words, these variables negatively predict high-risk behaviors. Also, avoidance coping style and adventure also plays an important role in predicting high-risk behaviors. In other words, they can predict the risky behaviors positively. Mac-line Tolerance Scale, and Zuckerman's sensation seeking Scale were used. The results of this study showed that emotional evaluation, malice, problem-oriented coping style and tolerance of ambiguity play an important role in predicting high-risk behaviors. In other words, these variables negatively predict high-risk behaviors. Also, avoidance coping style and adventure also plays an important role in predicting high-risk behaviors. In other words, they can predict the risky behaviors positively.
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