prediction of social networks addiction on the basis of girl students' loneliness and self-esteem

according to the widespread interest students in social networks, study of user' traits as antecedents of social networks addiction given special importance,study of user' traits as antecedents of social networks addiction given special importance. the aim of current research was prediction of social networks addiction on the basis of student' loneliness and self-esteem. research design was based on correlation study. a sample of 335 girl students were selected through multistage cluster sampling method and then assessed by the social and loneliness scale(selsa-s), rosenberg' self-esteem scale(rses) and researcher mad questionnaire of social networks addiction. collected data were analyzed by correlation, multiple regression. the results indicated that loneliness(r=0.36,p