Psychometric properties of the Turkish version of the Internet Addiction Test (IAT)

2017 ◽  
Vol 64 ◽  
pp. 247-252 ◽  
Author(s):  
Murat Boysan ◽  
Daria J. Kuss ◽  
Yaşar Barut ◽  
Nafi Ayköse ◽  
Mustafa Güleç ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Internet Addiction ◽  
The Internet ◽  
Turkish Version

Romanian Version of the Internet Addiction Test: Psychometric Properties and Cross-Gender Invariance

2018 ◽  
Vol 17 (2) ◽  
pp. 234-246 ◽  
Author(s):  
Otilia Ioana Tudorel ◽  
Mona Vintilă ◽  
Luiza Vlaicu ◽  
Dănuț Bălăuță ◽  
Cosmin Goian ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Internet Addiction ◽  
The Internet ◽  
Gender Invariance

scholarly journals Psychometric Properties of the Internet Addiction Test in Chinese Adolescents

2013 ◽  
Vol 38 (7) ◽  
pp. 794-807 ◽  
Author(s):  
C.-M. Lai ◽  
K.-K. Mak ◽  
H. Watanabe ◽  
R. P. Ang ◽  
J. S. Pang ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Internet Addiction ◽  
Chinese Adolescents ◽  
The Internet

scholarly journals Psychometric properties of the Internet Addiction Test in Turkish

2016 ◽  
Vol 5 (1) ◽  
pp. 130-134 ◽  
Author(s):  
Fatih Kaya ◽  
Erhan Delen ◽  
Kimberly S. Young
Keyword(s):  
Psychometric Properties ◽  
Internet Addiction ◽  
The Internet

Psychometric Properties of the Internet Addiction Test: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 21 (8) ◽  
pp. 473-484 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Jae Yup Kim ◽  
Ah Lahm Shin ◽  
Seung Min Bae ◽  
...  
Keyword(s):  
Systematic Review ◽  
Psychometric Properties ◽  
Internet Addiction ◽  
Meta Analysis ◽  
The Internet

scholarly journals Assessing the psychometric properties of the Internet Addiction Test (IAT) in US college students

2012 ◽  
Vol 196 (2-3) ◽  
pp. 296-301 ◽  
Author(s):  
Lauren A. Jelenchick ◽  
Tara Becker ◽  
Megan A. Moreno
Keyword(s):  
College Students ◽  
Psychometric Properties ◽  
Internet Addiction ◽  
The Internet

scholarly journals Exploring the psychometric properties of the English version of the Internet Addiction Test in the Pakistani population: a cross-sectional survey

2015 ◽  
Author(s):  
Ahmed Waqas ◽  
Faisal Farooq ◽  
Anum Bhatti ◽  
Saamia Javed ◽  
Mahrukh Elahi Ghumman ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Internet Addiction ◽  
Factor Model ◽  
Dental Students ◽  
The Internet ◽  
English Version ◽  
Cross Sectional ◽  
Pakistani Population ◽  
Ceiling Effects ◽  
Medical And Dental Students

Introduction: Despite growing concerns over pathological use of the Internet, studies based on validated psychometric instruments are still lacking in Pakistan. The present study aimed to examine the psychometric properties of Young’s Internet Addiction Test (IAT) in a sample of the Pakistani population. We examined the validity, internal consistency, readability and floor and ceiling effects of IAT scores.Methods: This cross-sectional study was conducted at CMH Lahore Medical College and Institute of Dentistry, Lahore, Pakistan from 1 March 2015 to 30 May 2015. A total of 522 medical and dental students completed the questionnaire, which consisted of three sections: (a) demographics and percentage grades in annual examinations, (b) a categorical question to record the estimated number of hours spent on the Internet per day, and (c) the English version of the IAT. All data were analyzed in SPSS v. 20. Principal axis factor analysis was used to validate the factor structure of the IAT in our study sample. An alpha coefficient > .7 was sought in the reliability analysis. Histograms and the values of skewness and kurtosis were analyzed for floor and ceiling effects. In addition, readability of the IAT was assessed as the Flesch Reading Ease score and Flesch-Kincaid Grade level function. Results: A total of 522 medical and dental students participated in the survey. Most respondents were female medical students enrolled in preclinical years of their degree program. Median age (min-max) of the respondents was 20 years (17-25 years). A single-factor model for IAT score explained 33.71% of the variance, with a high alpha coefficient of .893. In addition, the IAT had good face and convergent validity and no floor and ceiling effects, and was judged easy to read by participants. Conclusion: The English version of the IAT showed good psychometric properties in a sample of Pakistani university students. A single-factor model for assessing internet addiction showed good reliability and was found suitable with our study sample.

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