Abstract

This study aimed to explore the relationship between digital addiction and life satisfaction among university students across their demographic characteristics. A sample of 264 university students, including 148 females and 116 males, was selected through a random sampling method. The "Digital Addiction Scale (DAS)" developed by Kesici and Tunç (2018) for university students was administered to assess digital addiction levels. The " Satisfaction with Life Scale (SWLS)," developed by Diener et al. (1985) and adapted into Turkish by Dağlı ve Baysal (2016), was utilized to evaluate participants’ satisfaction with life. Descriptive statistical methods, such as percentage and frequency, were employed to determine the demographic characteristics of the participants. The data were assessed for normal distribution based on the skewness and kurtosis values. Additionally, parametric tests such as independent sample t-test and one-way ANOVA test were employed. Pearson’s correlation analysis was employed to determine the relationship between the sub-dimensions of the scale. The findings indicated a significant difference in the sub-dimensions of the digital addiction scale based on participants’ age, frequency of digital tool use, and level of welfare. However, no significant difference was found in the sub-dimensions of digital addiction and life satisfaction levels according to gender and grade level variables. On the contrary, there was a correlation between the life satisfaction scale and sub-dimensions of the digital addiction scale. Consequently, the relationships between digital addiction and life satisfaction levels varied depending on the socio-demographic characteristics of the participants.

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