Identifying the Causes of Social Isolation and Designing its Model in Female Students of First Period of High School

The aim of this research was identifying the causes of social isolation and designing its model in female students of first period of high school.

This study was applied in terms of purpose and combined in terms of implementation (qualitative and quantitative). The research population in the qualitative part of documents and resources and educational management experts and in the quantitative part of female high school students in Gorgan in the academic year 1398-99, which was 180 people. The research sample in the qualitative section according to the principle of theoretical saturation included documents and resources related to social isolation and 10 educational management experts who were selected by purposive sampling method and in the quantitative section according to Cochranchr(chr('39')39chr('39'))s formula, including 180 female high school students Were selected by cluster sampling method. Data were collected by phishing methods, interviews and a researcher-made questionnaire (39 items) whose construct validity and convergence of the questionnaire were confirmed and its reliability was obtained by Cronbach alpha method of 0.96. Data were analyzed by open and axial coding methods, factor analysis and structural equation modeling using MAXQDA software.

The findings of the qualitative part showed that social isolation has six components and 40 indicators including socio-economic anomalies (7 indicators), individual variables (9 indicators), role of parents (5 indicators), strengthening social relations (6 indicators), psychological interactions (10 Index) and family level (3 indicators). The findings of the quantitative part showed that social isolation model had a good fitting and every six factors of socio-economic anomalies, individual variables, role of parents, strengthening social relationships, , psychological interactions and family level had a significant effect on social isolation (P<0.05).

According to the results, social science experts can used from designed social isolation model of this research to reduce the social isolation that for this purpose it is necessary to pay attention to the role of effective components in it.