Predicting female student's social anxiety based on their personality traits

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.
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.
The results showed that neuroticism was positive and significant predictor of social anxiety (β=0.50, P The results show that different personality traits can predict different aspects of social anxiety in students.