Relation between Depression, Loneliness, Self-Esteem and Internet Addiction

Autor/inn/en	Ayas, Tuncay; Horzum, Mehmet Baris
Titel	Relation between Depression, Loneliness, Self-Esteem and Internet Addiction
Quelle	In: Education, 133 (2013) 3, S.283-290 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1172
Schlagwörter	Case Studies; Correlation; Depression (Psychology); Internet; Addictive Behavior; Psychological Patterns; Self Esteem; Surveys; Measures (Individuals); Secondary School Students; Predictor Variables; Foreign Countries; Multiple Regression Analysis; Turkey; Beck Depression Inventory; Rosenberg Self Esteem Scale; UCLA Loneliness Scale + Suchen Sie Ihr Suchwort? Case study; Fallstudie; Case Study; Korrelation; Self-esteem; Selbstaufmerksamkeit; Survey; Umfrage; Befragung; Messdaten; Sekundarschüler; Prädiktor; Ausland; Türkei
Abstract	Problem: Internet addiction has been emerged as a result of excessive internet misuse. In this study, analyzing the effects of depression, loneliness and self-esteem has been aimed in the prediction of the internet addiction levels of secondary education students. Method: The research is conducted according to the cross-sectional model as one of the survey models. The sample of the research is comprised of 292 students who continue their education in the first term of 2009-2010 academic year in Trabzon. Internet addiction, Beck depression, UCLA loneliness and Rosenberg self-esteem scale have been used as data collection tool in the research. Result: In consequence of the research a positive, mid-level and significant relation with internet addiction has come out when depression, loneliness and self-esteem variables are considered together. These variables explain 14 % of internet addiction's total variance. Conclusions: The relative order of importance of the variables on internet addiction is depression, loneliness and self-esteem. While depression and loneliness variables are significant predictors on internet addiction, self-esteem is not a significant predictor. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10