Lin, C-Y and Ganji, M and Pontes, HM and Imani, V and Brostrom, A and Griffiths, MD and Pakpour, AH, Psychometric evaluation of the Persian Internet Disorder Scale among adolescents, Journal of Behavioral Addictions, 7, (3) pp. 665-675. ISSN 2062-5871 (2018) [Refereed Article]
Copyright 2018 the authors. Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/
Background and aims: Given the growing epidemiological research interest concerning Internet addiction, brief instruments with a robust theoretical basis are warranted. The Internet Disorder Scale (IDS-15) is one such instrument that can be used to quickly assess the Internet addiction in an individual. However, only two language versions of the IDS-15 have been developed. This study translated the IDS-15 into Persian and examined its psychometric properties using comprehensive psychometric testing.
Methods: After ensuring the linguistic validity of the Persian IDS-15, 1,272 adolescents (mean age = 15.53 years; 728 males) completed the IDS-15, Depression Anxiety Stress Scale (DASS), Internet Gaming Disorder Scale – Short Form (IGDS9-SF), and the Bergen Social Media Addiction Scale (BSMAS). Confirmatory factor analysis (CFA), Rasch models, regression analysis, and latent profile analysis (LPA) were carried out to test the psychometric properties of the Persian IDS-15.
Results: Both CFA and Rasch supported the construct validity of the Persian IDS-15. Multigroup analysis in CFA and differential item functioning in Rasch indicated that male and female adolescents interpreted the IDS-15 items similarly. Regression analysis showed that the IDS-15 correlated with IGDS9-SF and BSMAS (ΔR2 = .12 and .36, respectively) is stronger than the DASS (ΔR2 = .03-.05). LPA based on IDS-15 suggests three subgroups for the sample. Significant differences in depression, anxiety, IGDS9-SF, and BSMAS were found among the three LPA subgroups.
Conclusion: The Persian IDS-15 has robust psychometric properties as evidenced by both classical test theory and Rasch analysis.
|Item Type:||Refereed Article|
|Keywords:||internet addiction, internet, Internet Disorder Scale, addiction, Persian|
|Research Division:||Medical and Health Sciences|
|Research Group:||Public Health and Health Services|
|Research Field:||Mental Health|
|Objective Group:||Public Health (excl. Specific Population Health)|
|Objective Field:||Mental Health|
|UTAS Author:||Pontes, HM (Dr Halley Pontes)|
|Web of Science® Times Cited:||6|
|Downloads:||5 View Download Statistics|
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