INVESTIGATION OF THE PREDICTIVE RELATIONSHIPS BETWEEN INTERNET ADDICTION, PERCEIVED EMOTIONAL ABUSE AND WELL-BEING IN ADOLESCENTS

Esra Kagnici, Zeliha Tras

Abstract


In this study, it was aimed to examine the predictive relationships between adolescents' internet addiction and perceived emotional abuse and well-being. Correlational survey model was used in the research. The research group consisted of high school students studying in the 9th and 10th grades. This group was selected by simple random sampling method. 492 high school students, 271 girls (55.1%) and 221 boys (44.9%), participated in the study. In the study, Short-Form of Young's Internet Addiction Test, Short-Form-II of Perceived Emotional/Psychological Abuse Scale for Adolescents, Five-Dimensional Well-Being Model Scale for Adolescents, and Personal Information Form were used. Independent sample t-test, One-Way Anova, Pearson Correlation Coefficient, and multiple linear regression analysis techniques were used to analyze the data. According to the findings of the study, no significant difference was found between adolescents' internet addiction and gender variable. On the other hand, a significant difference was found between internet addiction and grade level of adolescents, the average daily internet use duration during the week, the average daily internet use duration at the weekend, internet use purposes, and the effect of internet use on sleep patterns. A positive, moderately significant correlation was found between adolescents' internet addiction and the score of emotional abuse perceived from mother and father. A moderately significant negative relationship was found between the internet addiction scores and well-being scores of adolescents. According to the findings of the study, it was found that perceived emotional abuse by parents and well-being scores were predictors (R = 0.411, R² = 0.17) on adolescents' internet addiction scores.

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internet addiction, perceived emotional abuse, well-being, adolescents

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DOI: http://dx.doi.org/10.46827/ejes.v8i3.3617

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