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ANALYSIS OF INTERNET AND CELL PHONE USAGE BY LOGISTIC REGRESSION: CASE OF ATATURK UNIVERSITY UNDERGRADUATE STUDENTS
Author(s) -
Ali Kemal Çeli̇k
Publication year - 2013
Publication title -
deleted journal
Language(s) - English
Resource type - Journals
ISSN - 2147-2971
DOI - 10.9761/jasss_517
Subject(s) - logistic regression , phone , psychology , the internet , statistics , computer science , world wide web , mathematics , linguistics , philosophy
Together with advanced technologies, internet and cell phone usage became essential components of human life. By the courtesty of increasing * Bu çalışma, 23-25 Kasım 2012 tarihinde Bakü, Azerbaycan’da düzenlenen “I. Uluslararası ve Kurumsal Sosyal Sorumluluk Kongresi”nde özet olarak kabul edilen bildirinin yeniden düzenlenmiş ve genişletilmiş halidir. İnternet ve Cep Telefonu Kullanımının Lojistik Regresyon Yardımıyla Analizi: Atatürk Üniversitesi Lisans Öğrencileri Örneği 480 internet users, Turkey accomplishes to become one of the top ten countries in Europe by the end of 2011. Furthermore, according to the bulletin of Turkish Statistical Institute in 2011, the number of cell phone subscribers exceeded 65 million people by increasing 5,8 percent with respect to previous year, while, third generation (3G) subscribers raised to 35 million people. Monthly mobile usage time of Turkey reaches to 252 minutes and strongly competes with the numbers of European Union member states. All these numbers indicate that internet and cell phone usage are frequently used by young and educated population in Turkey. This paper purposes to determine the frequency of internet and cell phone use of undergraduate students and to introduce the factors affecting internet and cell phone usage. For these purposes, a questionnaire was performed to undergraduate students of Atatürk University. Logistic regression method is a user-friendly technique which does not require normality assumption, when the dependent variable is a binary variable such like 0-1, or when it involves more than two discrete levels. Cross-section data being obtained were evaluated by logistic regression analysis to determine the factors effecting the usage of internet and cell phone usage of undergraduate students.

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