Keywords = students
sociology

Social Networks and Demands of Students in Kermanshah City

Volume 25, Issue 4, Winter 2025, Pages 89-115

https://doi.org/10.22034/jsi.2025.2052312.1769

Masoumeh Mirzaei, Susan Bastani, Mansoureh Azam Azadeh

Abstract The present study was conducted to identify students' social demands and how they are formed, using a qualitative network analysis approach. To collect information, semi-structured interviews were conducted with (24) girl and boy students in the second year of high school in Kermanshah City. Participants were selected from schools (three educational districts) using purposive sampling. According to the research findings, students' social demands have been extracted into four overarching themes: " rotating traditional paradigms ", "balance of rights/responsibilities", "opportunity to be seen", and "liberation from the image of an accepting student", and are coherent with the final theme of "life with the joy of this world". Data analysis showed that adolescents' social demands do not form in a vacuum; rather, they examine and compare opinions by establishing connections and exchanging opinions with actors in their situational and preferred networks. During the exchange of ideas with network members, they learn about new ideas that cause them to rethink their mental interpretations of the meanings of demands. This leads to the formation of new desires in them. Although the range of relationship density in situational networks is greater than in preferential networks, due to the internal content of preferential networks (Extensiveness of relationships, diversity of topics, intimacy and belonging in selected relationships) The impact of opinions on these networks is deeper.

Comparative Analysis of the Attitude to Marriage and the Factors Affecting it Among University students and Tollabs in Tehran

Volume 20, Issue 4, Autumn 2020, Pages 58-85

https://doi.org/10.22034/jsi.2019.47869

A. Akbari Ghamsari, H. Mehdizadeh Moghadam

Abstract The process of modernity in Iran has had important effects, including changing the structure of the family and marriage. Examination of longitudinal data shows an increase in marriage age, an increase in the percentage of men and women who have never married at the age of marriage, a decrease in the marriage rate, a decrease in fertility rate, and an increase in the divorce rate. This process is more prevalent among educated youths. In this research, using the survey technique, a comparative analysis has been done to explain the attitude of university students and Tollabs to marriage, as educated groups.
The results showed that the percentage of attitude to marriage among the group of students and the group of Tollab was 64% and 92% respectively. Among the factors affecting the dependent variable (attitude to marriage), internal barriers, benefits of marriage, and external barriers have had the greatest impact on the explanation. According to the regressions performed in the group of students (75.9% girls, 78% boys) and in the Tollab group (77.2% girls and 58.8% boys), the dependent variable has been explained.
 
 

Compuer Offences Among Univerctty Students: An Empirical Test Of Akers' Social Learning Theory

Volume 15, Issue 2, Summer 2013, Pages 24-56

Akbar Aliverdinia, Azam Malekdar, Mohammadreza Hasani

Abstract With the increase of computer-related deviant behaviors and formation of new crime, individuals and society have come across many threats. The current study tries to explain computer related offences among students of Mazandaran University, with the use of Akers' Social Learning Theory. Having done a survey, we distributed a questionnaire between 403 students whom had been selected by the use of proportional stratified sampling. The population was the whole students of the University in 2012-2013. Computer Offences variable consists of three dimensions: ‘against data & system’, ‘identity theft’ and ‘cultural’. Independent variables consists of differential association, differential reinforcement, definitions and imitation and their effects on computer offences are examined. Data is analyzed by “lisrel” and “Spss” software. The findings of SEM demonstrate that the relationships between differential association and differential reinforcement and computer-related offences are significant. The differential association, however, has the strongest effect on it (Beta= 0/41).