Sociological explanation of gender and sense of social security (Case study of Tabriz University students)

Document Type : Original Article

Authors

1 PhD Student, Department of Sociology, Faculty of Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2 Assistant Professor, Department of Sociology, Faculty of Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.

3 Professor, Department of Sociology, Faculty of Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Abstract

The present study examines the level of social security and recognizes the most important factors related to it. This research is of an applied type with an explanatory purpose and the research method is survey and a questionnaire tool has been used to collect data. research sample was 400 young people aged 20-35 years old living in Tabriz who were selected by multistage cluster sampling. According to the results, the average sense of social security of men was 102.10 and women was 86.9. Findings of the study indicate that there is a significant and direct relationship between social order and the feeling of social security, as well as a significant and direct relationship between social capital with the feeling of social security and the use of information technology with a sense of social security. There was no significant relationship between social participation and the feeling of social security. There was no significant difference in the mean index of social security in terms of education level, marital status and social class. There was a significant difference in the average sense of social security according to the gender of the respondents. So that the average feeling of security of men was higher than women. There was also no significant relationship between income and the feeling of social security. respectively, have remained in the model and the other variables have been left out of the equation. . In total, these variables were able to explain 58.8% of the changes in the dependent variable.

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