Prediction of Dependence on Social Networks Based on Differentiation and Communication Patterns in Teenagers

Abstract

The present study was conducted with the aim of presenting prediction of dependence on social networks based on differentiation and emotional communication patterns in teenagers of Tehran city in 2022. This research was descriptive-correlational in terms of the type of applied goal and the method of data collection. The statistical population was 90,000 students of the second secondary level in the 22nd district of Tehran, and 300 people were selected by multi-stage cluster sampling based on Morgan's table. In order to collect data, the social network dependence questionnaire of Kajbaf, Sashabani, Nikbakht and Farahani (2016), the Revised Scale of Family Communication Pattern (RFCP) Kothner and Fitzpatrick (2002) and the self-differentiation questionnaire of Skavron, Friedland (1998) were used. In order to analyze the data, Pearson correlation and stepwise regression tests were used. The correlation results showed that all the correlation coefficients are significant (p<0.01). Based on the obtained results, the correlation between differentiation and dependence on social networks is significant (p<0.01). The correlation between conformity orientation with dependence on positive social networks is significant and the correlation between dialogue orientation with dependence on negative social networks is significant. According to the obtained results, the dependence on social networks can be explained by using predictive variables of differentiation and communication patterns. The results of this study can help educational specialists in examining adolescent issues.

Keywords

• social networks
• differentiation
• communication patterns
• teenagers