Exploring the Loneliness and Internet Addiction Level of College Students Based on Demographic Variables

Abstract

The aim of this study is to examine the loneliness and Internet addiction levels of college students in terms of demographic variables and to determine the variables that predict their Internet addiction level. Data were collected from college students studying at a public university in Turkey. The UCLA Loneliness Scale Version3 and Internet Addiction Test (IAT) were used as the data collection tools. College students were delivered an online survey and at the end 489 college students were voluntarily participated in the study. This survey study employed independent sample t-tests, ANOVA tests, correlation and multiple regression tests for data analysis. The results show that younger participants felt significantly more loneliness than older participants; similarly, students in lower classes felt more alone than those in upper classes. In terms of addiction, it is seen that the frequent use of computers, smartphones and social media increases the Internet addiction level of students. The study suggests a significant correlation between loneliness, Internet addiction, age, and Cumulative Grade Point Average (CGPA). Additionally, loneliness and CGPA significantly predict Internet addiction. This study may be important in terms of determining the psychological variables affecting today's increasing technology addiction (internet, smart phone, etc.). Thus, determining the effect of the level of loneliness of young people on internet addiction may be effective in terms of preventing this addiction.