Volume 11, Issue 4 (March 2018, Volume 11, Issue 4 2018)                   rph 2018, 11(4): 31-42 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Lotfi M R, Ahi Q, Safayi I. The Role of Borderline Personality Traits and Rejection Sensitivity in Prediction of Membership in Social Networks. rph. 2018; 11 (4) :31-42
URL: http://rph.khu.ac.ir/article-1-3052-en.html
1- Islamic Azad University, Birjand, Iran
2- Islamic Azad University, Birjand, Iran , ahigh1356@yahoo.com
Abstract:   (4822 Views)

Nowadays, the Internet and social networks are used extensively and sometimes pathologically. Thus, this study aimed to investigate the role of borderline personality traits and rejection sensitive in predicting membership in social networks. In this descriptive and correlational study, among 200 high school teachers (111 females and 89 male) of Khusfe city, South Khorasan province, 182 teachers were selected by census method and then they were asked to complete borderline personality scale, rejection sensitive questionnaire and a questionnaire on membership in social networks. To test the hypotheses, Pearson correlation coefficient and multivariate regression analysis were used. Results showed that rejection sensitivity and borderline personality traits had a role in predicting membership in social networks and these two variables accounted for 27% variance of membership in social networks. It seems that having borderline personality traits and rejection sensitivity in actual interpersonal relations are effective factors in a tendency to use social networks more and compulsorily.

Type of Study: Research | Subject: Special
Received: 2017/11/8 | Accepted: 2018/03/13 | Published: 2018/03/13

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 |

Designed & Developed by : Yektaweb