The DAS was determined to explain the 60 of the variance This ratio can be said

The das was determined to explain the 60 of the

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The DAS was determined to explain the 60% of the variance. This ratio can be said to be very good when compared to the scales which are used in several studies in Turkey and are related to digital addiction. For example, the explanatoriness of the Problematic Internet Use Scale by Ceyhan, Ceyhan, and Gürcan (2007) [14] is 49%, and the explanatoriness of the Internet Addiction Scale adapted to Turkish by Kayri and Günüç (2009) [15] is 33%, both of which measure general addiction like the DAS. The explanatoriness of the Facebook Addiction Scale translated into Turkish by Türkyılmaz (2015) [17] is 74%, the one of the Smart Phone Addiction Scale adapted to Turkish by Demirci and his colleagues (2014) [18] is nearly 66%, and the one of the Digital Game Addiction Scale which Irmak and Erdoğan adapted to Turkish is almost 57%, all of which measure more specific types of addiction. Therefore, the DAS can be used in the studies related to technology-based behavioral addiction reliably. This study is limited as it was conducted with the students studying at Siirt, Dicle, and Erzincan Universities. That its validity and reliability study will be made with the students studying at different faculties and at different universities can be beneficial. The studies which will be made for the reliability and validity of the DAS for the teenagers can provide great contributions to the field. Finally, there may be said to be a need to make new studies for the criterion validity of the DAS.
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Universal Journal of Educational Research 6(1): 91-98, 2018 97 Appendix: The Digital Addiction Scale
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98 The Development of the Digital Addiction Scale for the University Students: Reliability and Validity Study REFERENCES [1] Temel, F., Önürmen, O., & Köprü, M. (2014). Digital means and the internet during electoral campaigns: a case study on university students. Global Media Journal: Turkish Edition , 5 (9), 322-337. [2] Arslan, A., Kırık, A. M., Karaman, M., & Çetinkaya, A. (2015). Digital addiction in high school and university students. International Peer-Reviewed Journal of Communication and Humanities Research , 8(8), 34-58. [3] Young, K. S., Yue, X. D., & Ying, L. (2011). Prevalence estimates and etiologic models of Internet addiction. Internet addiction: A handbook and guide to evaluation and treatment , 3-17. [4] Kır, İ., & Sulak, Ş. (2014). Determining internet addiction level of faculty of education students. Electronic Journal of Social Sciences , 13(51), 150-167. [5] Gününç, S., & Kayri, M. (2010). The profile of internet dependency in Turkey and development of internet addiction scale: Study of validity & reliability. Hacettepe University Journal of Education , 39(39): 220-232. [6] You, S., Kim, E., & Lee, D. (2017). Virtually real: exploring avatar identification in game addiction among massively multiplayer online role-playing games (MMORPG) players. Games and Culture , 12 (1), 56-71. [7] Griffiths, M. (1999). Internet addiction: Fact or fiction? The Psychologist, 12(5), 246-250. (Trans.: K. Alat), Turkish Psychological Bulletin 1999. ISSN: 1300-7408. Available from: 1&yil=2003. Available on September 15, 2016.
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