Razzaghi Yenghaje E, Hoseinifar J, Zadyunes S, Marefat Ajerlu M, Babaie Hefzabad S. Prediction of Psychological Resilience of Students Based on Attachment Styles and Social Support. Rooyesh 2019; 8 (7) :85-96
URL:
http://frooyesh.ir/article-1-1305-en.html
1- Department of Psychology, Faculty of Psychology and Education Sceince, Imam Khomeini International University, Qazvin
2- Department of Psychology, Faculty of Psychology and Education Sceince, Allame Tabataba’i University, Tehran , jafarhoseinifar@yahoo.com
3- Department of Psychology, Faculty of Psychology and Education Sceince, University of Mohaghegh Ardabili, Ardabil, Iran
4- Payam Noor University of Ardebil, Ardabil, Iran
5- Department of Psychology, Faculty of Psychology and Education Sceince, Islamic Azad University, Garmsar Branch
Abstract: (2425 Views)
The purpose of this study was to predict the psychological resilience of students in Ardebil based on attachment styles and social support. The present study is a correlational study and the statistical population of this study is all male high school students in Ardebil Secondary School in the academic year of 2016-2017. From this statistical population, a sample of 318 people was selected using available sampling method. Researcher-made questionnaires, attachment styles, social support and demographic questionnaire were used to measure the variables. Data were analyzed using Pearson correlation and regression analysis. The results of stepwise regression analysis indicated that in total, 37% of variance related to resilience is explained by attachment styles and social support. Also, the safe attachment style, social support and avoidant attachment style were the most important predictors of psychological resilience of students. These results are important implications in the pathology of adolescent problems. Therefore, professionals can use these results to prevent and treat students' problems and improve their resilience.
Type of Article:
Research |
Subject:
General Psychology Received: 2018/08/11 | Revised: 2019/11/15 | Accepted: 2018/09/15 | ePublished: 2019/09/23