Predicting female students� social anxiety based on their personality traits

Abbasi-Asl, Roya and Naderi, Habibollah and Akbari, Abbas (2016) Predicting female students� social anxiety based on their personality traits. Journal of Fundamentals of Mental Health, 18 (6). pp. 343-349.

[img]
Preview
Text
JFMH_Volume 18_Issue 6_Pages 343-349-2.pdf

Download (239kB) | Preview
Official URL: http://jfmh.mums.ac.ir/article_7808.html

Abstract

Introduction: One of the most important psychological issues reflected more in the social developments is social anxiety disorder. In this context, this paper aims at predicting social anxiety in female students studying in the University of Mazandaran, based on their personality traits. Materials and Methods: The population of this descriptive study consists of all female students in the University of Mazandaran in 2014-2015. The samples are 384 students selected by stratified random sampling. Collecting data of social anxiety, we used Watson and Friend's social anxiety scale (SAD, FNE), and personality inventory short form (NEO) to collect the data of personality traits. The data were analyzed by SPSS 22 and using Pearson's correlation and multiple regression. Results:The results showed that neuroticism was positive and significant predictor of social anxiety (β=0.50, P<0.000). Extroversion (β=-0.32, P<0.000) and agreeableness (β=-0.10, P<0.049) were negative and significant predictors of social anxiety. Openness and conscientiousness were not predictors of social anxiety. Conclusion: The results show that different personality traits can predict different aspects of social anxiety in students.

Item Type: Article
Subjects: WA Public Health
WM Psychiatry
Divisions: Journals > Journal of Fundamentals of Mental Health
Depositing User: jfmh jfmh
Date Deposited: 20 Sep 2017 15:24
Last Modified: 23 Sep 2017 18:26
URI: http://eprints.mums.ac.ir/id/eprint/1461

Actions (login required)

View Item View Item