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

Autor: Roshanak Esmaili, Akbar Mohammadi, Sara haghighat
Jazyk: perština
Rok vydání: 2023
Předmět:
Zdroj: پژوهش در نظام‌های آموزشی, Vol 17, Iss 61, Pp 46-56 (2023)
Druh dokumentu: article
ISSN: 2383-1324
2783-2341
DOI: 10.22034/jiera.2023.394582.2960
Popis: 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
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