Volume 7, Issue 5 (Shenakht Journal of Psychology and Psychiatry 2020)
Shenakht Journal of Psychology and Psychiatry 2020, 7(5): 52-64 |
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Darba M, Shahmoradi S, Naghsh Z, Madani Y. Predicting fear of being single based on personality types, emotional intelligence, and demographic variables. Shenakht Journal of Psychology and Psychiatry 2020; 7 (5) :52-64
URL: http://shenakht.muk.ac.ir/article-1-1029-en.html
URL: http://shenakht.muk.ac.ir/article-1-1029-en.html
1- M.A Student of Family Counseling, Department of Educational Psychology and Counseling, University of Tehran, Tehran, Iran
2- Assistant Professor, Department of Educational Psychology and Counseling, University of Tehran, Tehran, Iran , s.shaahmoradii@ut.ac.ir
3- Assistant Professor, Department of Educational Psychology and Counseling, University of Tehran, Tehran, Iran
2- Assistant Professor, Department of Educational Psychology and Counseling, University of Tehran, Tehran, Iran , s.shaahmoradii@ut.ac.ir
3- Assistant Professor, Department of Educational Psychology and Counseling, University of Tehran, Tehran, Iran
Abstract: (3121 Views)
Introduction: Recent developments in current societies have brought about changes in the age of marriage, so that the number of single people is increasing. These conditions are unpleasant for some people and they experience the fear of being single.
Aim: The aim of this study was to predict the fear of being single based on personality types, emotional intelligence and demographic variables.
Method: The research method was descriptive-correlational studies. The statistical population of the study included all students of the University of Tehran in the academic year of 2019-2020, who were selected by available sampling method and answered online questionnaires by calling online. Demographic questionnaires, fears of being single (2013), Myers-Briggs personality traits (1987), and Bar-on's emotional intelligence (1997) were used to collect data. The data collected were analyzed through SPSS-22 software.
Results: The results showed that there was a significant relationship between personality types, emotional intelligence and demographic variables (age, income and education) with fear of being single (P<0.05). Moreover, personality types, emotional intelligence and demographic variables were able to predict 28%, 16% and 9% of the variance of fear of being single, respectively.
Conclusion: The results of the present study can be used to identify variables related to fear of being single in individual and premarital counseling and accordingly used appropriate preventive and interventions methods.
Aim: The aim of this study was to predict the fear of being single based on personality types, emotional intelligence and demographic variables.
Method: The research method was descriptive-correlational studies. The statistical population of the study included all students of the University of Tehran in the academic year of 2019-2020, who were selected by available sampling method and answered online questionnaires by calling online. Demographic questionnaires, fears of being single (2013), Myers-Briggs personality traits (1987), and Bar-on's emotional intelligence (1997) were used to collect data. The data collected were analyzed through SPSS-22 software.
Results: The results showed that there was a significant relationship between personality types, emotional intelligence and demographic variables (age, income and education) with fear of being single (P<0.05). Moreover, personality types, emotional intelligence and demographic variables were able to predict 28%, 16% and 9% of the variance of fear of being single, respectively.
Conclusion: The results of the present study can be used to identify variables related to fear of being single in individual and premarital counseling and accordingly used appropriate preventive and interventions methods.
Keywords: Fear of being single, Personality types, Emotional intelligence, Demographic variables, Students
Type of Study: Research |
Subject:
Special
Received: 2020/08/31 | Accepted: 2020/10/26 | Published: 2020/12/12
Received: 2020/08/31 | Accepted: 2020/10/26 | Published: 2020/12/12
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