Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/7096
Title: Adaptation of Internet Addiction Scale in Azerbaijani Language: A Validityreliability and Prevalence Study
Authors: Kerimova, Melek
Gunuc, Selim
Keywords: Internet addiction
scale
Azerbaijan
adolescent
prevalence
validity
Issue Date: 25-Sep-2015
Publisher: Redfame Publishing
Citation: Journal of Education and Training Studies
Series/Report no.: Vol. 4;№ 1
Abstract: The purpose of the present paper was to adapt Gunuc and Kayri’s (2010) Internet Addiction Scale, with show validity and reliability for many various sampling groups, into the Azerbaijani language. Another objective of the study is to determine the prevalence of Internet addiction among Azerbaijani adolescents and youth, which preemptively requires adaptation of the Internet Addiction Scale into the Azerbaijani language. Samples in the study have been selected separately for both purposes (validity and prevalence). Data were collected from students attending Khazar University in Azerbaijan in 2014-2015, first, in order to conduct Confirmatory Factor Analysis of the scale and second, to determine the prevalence of Internet addiction among youth. Data was obtained from 309 students for the first purpose and from 836 students for the second one. Students in various majors within the research sample were stratified through stratified sampling and students in these majors were randomly selected. The four-factor structure of the scale was tested through CFA. The Cronbach’s Alpha (α) internal consistency coefficient of the scale was calculated as α=.926. Reliability coefficient of 4 sub-factors, regarding the scale, was found as follows: α=.844 for Withdrawal, α=.821 for Controlling difficulty, α=.829 for Disorder in Functionality and α=.792 for Social Isolation. The prevalence of Internet addiction among youth in Azerbaijan was determined. The study found that 51.9% were not Internet addicts, 40.6% were moderate Internet addicts, and 7.5% were Internet addicts. These findings show that the rate of Internet addicts, particularly in the categories of moderate Internet addicts and Internet addicts (48.1%), is not small enough to ignore.
URI: http://hdl.handle.net/20.500.12323/7096
ISSN: 2324-805X
2324-8068
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