Prediction of Spiritual Intelligence Based on Personality Traits in Male addicted Quitting Narcotics in Ilam
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Abstract:
Introduction: Addiction is an individual and social damage and has so many causes, roots and backgrounds. It also includes adverse economic, social, political, cultural, environmental, psychological and several individual complications and consequences. Objective: The aim of this study was to predict the spiritual intelligence based on personality traits in male addicted quitting narcotics in Ilam. Materials and Methods: In this correlational research, 250 male drug users quitting narcotics were selected by Convenience sampling method. Two questionnaires of personality traits and spiritual intelligence were used for data collection. In this research, personality traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) and spiritual intelligence were regarded as predictor variables and dependent variables, respectively. The data were analyzed using R Pearson correlation coefficient and multiple regression analysis (P<0/01). Results: The results showed that those drug user with higher level of neuroticism (35/36±7/50) owns lower spiritual intelligence and those with more extraversion (38/57±6/44), agreeableness (39/16±5/59) and conscientiousness (43/28±7), have higher level of spiritual intelligence. Neuroticism (with correlation coefficient -0/44), was determined as the most important predictive variables. Regression coefficients with hierarchical method for linear combination of personality traits and spiritual intelligence were significant (P<0.001) Discussion and Conclusions: The results of this study support existing relationship between personality traits and spiritual intelligence in addicted male quitting narcotic. According to the results of this study, personality traits and individual characteristics can help them benefit from spiritual intelligence and accordingly compatibility and problem solving ability.
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volume 5 issue 3
pages 192- 200
publication date 2019-03
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