roghieh sadeghzadeh; hasan ahadi; fariborz Dortaj; golamreza Manshaee
Abstract
The present study aimed to investigate the relationships between social anxiety, perceived social support, feeling of loneliness, and self-regulation with dependence on virtual social networks in order to develop a structural model for students.514 high school students were selected as the samples from ...
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The present study aimed to investigate the relationships between social anxiety, perceived social support, feeling of loneliness, and self-regulation with dependence on virtual social networks in order to develop a structural model for students.514 high school students were selected as the samples from four districts of northern and southern Tehran by cluster sampling method. Students responded to the social anxiety (Puklek, 2004), perceived social support (Zimet et al, 1988), and loneliness (Russell, 1996) questionnaires as well as the researcher-made questionnaire of dependence on social networks, and self-regulation questionnaire (Brown, Miller, and Lewandowski, 1999).Research data was analyzed using structural equation modeling (SEM). The results indicated that the model had a good fit. In direct effects, there was a significant relationship between social anxiety, perceived social support and self- regulation, but in indirect effects, only the loneliness variable had a significant relationship with mediation of self-regulation. Therefore, it can be concluded that the four predictor variables had influence on social network dependency. This issue indicates their special importance.
azra Mirkazemi; Samaneh Rastgoo; Fereshteh Ahmad Abadi
Abstract
Since the use of mobile social networks is prevalent among the students, the present study is aimed to predict the degree of dependence on social networks through the goals of using these networks among students of the 9th regional universities. The research method is descriptive-correlational. The research ...
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Since the use of mobile social networks is prevalent among the students, the present study is aimed to predict the degree of dependence on social networks through the goals of using these networks among students of the 9th regional universities. The research method is descriptive-correlational. The research instrument was a researcher-made questionnaire with questions about research variables and its validity and reliability were confirmed. The statistical population consisted of all universities in 9 countries (11 universities), among which 6 universities were distributed and collected in a Stratified random manner through a researcher-made questionnaire. Data were analyzed by SPSS software. Descriptive and inferential statistics were used for data analysis (one sample t-test, Pearson correlation, simple linear regression and multiple regression). The results showed that social network dependency was higher than average and positive correlation was found between leisure time goals, communication with relatives, diversity in service use, and record sharing in the likes. There is a score of 0.37 and these goals predict 14.3% of students' affiliation to mobile social networks. therefore, suggested that by using extremist social networks, responsible agencies design and run programs to raise awareness of the diverse services of these networks to fill students' leisure time usefully.
