Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short Version among university students

Citation data:

Anatolian Journal of Psychiatry, ISSN: 1302-6631, Vol: 16, Issue: 0, Page: 71-83

Publication Year:
2015
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DOI:
10.5455/apd.176101
Author(s):
Cemal Onur Noyan; Aslı Enez Darçin; Serdar Nurmedov; Onat Yilmaz; Nesrin Dilbaz
Publisher(s):
ScopeMed International Medical Journal Management and Indexing System
Tags:
Nursing; Medicine
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article description
Objective: The aim of this study was to evaluate the reliability and validity of the Turkish version of the Smartphone Addiction Scale-Short Version (SAS-SV) among university students. Methods: Three hundred and sixty-seven university students using smartphone from Uskudar University are enrolled the study. Sociodemographic informa-tion including characteristics of smartphone usage, internet addiction scale and SAS-SV were conducted. SAS-SV consists of ten items and single factor structure. For the examination of structure validity, the Kaiser-Meyer-Olkin and Bartlett’s tests were utilized. In order to check the reliability of each item, Cronbach’s alpha correlation coefficient was confirmed for each item and total. The corrected item/total correlation coefficients and test-retest reliability were also calculated. The concurrent validity was confirmed using Internet Addiction Scale. Results: Chronbach’s alpha coefficient of the scale was 0.867 and had a high reliability. Reliability coefficient of test/retest was 0.926. The SAS-SV was statistically and positively correlated with the internet addiction scale confirming concurrent validity. Participants who evaluated themselves as addicted to smartphones had statistically significantly higher SAS-SV scores than the participants who evaluated themselves as not-addicted. Also the SAS-SV scores were statistically and positively correlated with the frequency of smartphone-checking behavior and the time consumed during smartphone use. Conclusion: SAS-SV is a valid and reliable instrument to evaluate smartphone usage among university students.