Title of article :
Prediction of Instagram Social Network Addiction Based on the Personality, Alexithymia and Attachment Styles
Author/Authors :
Ershad, Zeinab Sadat Department of Sociology - Islamic Azad University Tehran Branch, Iran , Aghajani, Tahmoures Department of Sociology - Islamic Azad University West Tehran Branch, Tehran, Iran
Abstract :
Instagram is the fastest growing social network site globally. Instagram is an online, mobile
phone photo-sharing, video-sharing, and social network service that enables its users to take
pictures and videos, and then share them on other platforms. The purpose of this study is to
distinguish the student’s Instagram social network addiction by personality, alexithymia and
attachment styles in Tehran city. In this correlational study, a group of 100 high school students
(50 Instagram social network addicted and 50 non -addicted) as multi stage sampling are selected.
The data collected by the questionnaires of Costa and McCrae (1982) personality scale, Bagboy,
Parker and Taylor's twenty-item Toronto alexithymia scale (1994), Collins and Read attachment
styles scale (1990) and researcher made Instagram. The obtained data were analyzed by using the
technique of discriminated analysis. The results of the discriminant analysis showed that
variables of neuroticism, alexithymia, ambivalent and avoidant attachment style can help in
predicting how students are involved in Instagram addiction. The study selected 81 percent of the
students for their actual classification. The results of this study emphasized on relationship
between neuroticism, alexithymia, ambivalent and avoidant attachment style with
Instagram addiction. Thus, the prevention and treatment of dependence to Instagram mentioned
variables are very important.
Keywords :
Discriminant analysis , Instagram , Personality , Alexithymia , Attachment , Students
Journal title :
Sociological of Studies of youth