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Results indicate younger students and lower-class students report higher loneliness, and frequent computer, smartphone, and social media use relates to higher addiction. Loneliness and CGPA significantly predict Internet addiction.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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is the main objective of the study?","Question",{"text":63,"@type":64},"To examine college students’ loneliness and Internet addiction levels by demographic variables and determine which variables predict Internet addiction.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which tools were used to collect the data?",{"text":68,"@type":64},"The study used the UCLA Loneliness Scale Version 3 and the Internet Addiction Test (IAT) to measure loneliness and Internet addiction.",{"name":70,"@type":61,"acceptedAnswer":71},"What factors were associated with higher Internet addiction levels?",{"text":72,"@type":64},"Frequent use of computers, smartphones, and social media was associated with higher Internet addiction levels, and loneliness and CGPA significantly predicted Internet 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\nMehmet Akif University, Turkey  \nORCID: 0000-0002-9920-5211  \nNese Sevim Cirak  \nMehmet Akif University, Turkey  \nORCID: 0000-0002-5843-6291  \nReceived: 24.10.2019 Accepted: 20.03.2019 Published: 16.04.2019  \nAbstract  \nThe 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) .  \nAdditionally, loneliness and CGPA significantly predict Internet addiction. This study maybe 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.  \nKeywords: Internet addiction; Loneliness; UCLA Loneliness Scale; Internet Addiction Test  \nIntroduction  \nThe Internet was developed in the 1969’s and since then improved and grown rapidly to became an important part of daily life (Chou et al., 2015) for various ages and gender groups. However, the rapid increase of Internet usage causes issues such as problematic use of the Internet (Kim & Davis, 2009) and Internet addiction (Block, 2008) . Although the Internet provides various social networking and entertainment opportunities, it is also seen that the number of users who use the Internet excessively for work, and for social networking and/or entertainment are increasing (Chou et al., 2015) . The overuse and compulsive use of the Internet might negatively impact the psychological, physical and social well-being of a person (Davis, 2001; Young, 1998) .  \nIvan Goldberg provided the first definition of Internet Addiction Disorder (IAD) in 1995 in order to describe the diagnostic criteria for the Overuse of Internet (Goldberg, 1996) . Internet addiction, which is also called Pathological Internet Use, describes the situation in which a person is unable to control their Internet usage and faces psychological, social or work difficulties (Chou et al., 2015) as a consequence. It is a physical condition in which a person is negatively affected emotionally and mentally by excessive use of the Internet (Beard, 2005) . Internet addiction is a behavioral control problem (Young & Abreu, 2011) . In other words, the Internet users are unable to control their Internet usage which as a result might lead to problems in their daily life (Shek, Sun, & Yu, 2013) such as skipped meals, lack of sleep, harm done to their educational and professional careers, or damage to their family relationships (Kardefelt-Winther, 2014) . Due to the large volume of research and the high demand for clinical treatment, the American Psychiatric Association (APA, 2012) has added “Internet Gaming Disorder” in Section III of the Fifth Edition of the “Diagnostic and Statistical Manual for Mental Disorders (DSM-5)”(Holden, 2010; Yao & Zhong,","cbCaimikwQNepLVV","https://ap.wps.com/l/cbCaimikwQNepLVV","pdf",721806,17,"English","# Abstract\n# Introduction","[{\"question\":\"What is the main objective of the study?\",\"answer\":\"To examine college students’ loneliness and Internet addiction levels by demographic variables and determine which variables predict Internet addiction.\"},{\"question\":\"Which tools were used to collect the data?\",\"answer\":\"The study used the UCLA Loneliness Scale Version 3 and the Internet Addiction Test (IAT) to measure loneliness and Internet addiction.\"},{\"question\":\"What factors were associated with higher Internet addiction levels?\",\"answer\":\"Frequent use of computers, smartphones, and social media was associated with higher Internet addiction levels, and loneliness and CGPA significantly predicted Internet addiction.\"}]","Exploring the Loneliness and Internet Addiction Level of College Students Based on Demographic Variables | PDF",1792089693,43]