By applying the DSM-5 threshold to diagnose IGD (meeting at least five criteria), the incidence of individuals with IGD was found to be 7.4% (n=56) in the entire sample.Conclusion: These results demonstrate the Turkish version of the IGDT-10 to be a valid and reliable instrument for determining the magnitude of problems associated with IGD among young adults and for early diagnosis of IGD in clinical environments and comparable studies.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:Objective: The main aims of the current study were to test the factor structure, reliability and validity of the Ten-Item Internet Gaming Disorder Test (IGDT-10), a standardized measure to assess symptoms and prevalence of internet gaming disorder (IGD).Method: In the present study, participants were assessed with the IGDT-10, the nine-item IGD Scale – Short Form (IGDS9-SF), and the Motives for Online Gaming Questionnaire (MOGQ).Results: Confirmatory factor analysis showed that the IGDT-10’s one-factor structure (i.e., dimensional structure) was satisfactory.
📊
Key Findings & Data:The scale was also reliable (i.e., internally consistent with a Cronbach’s alpha of 0.79) and showed adequate convergent and criterion-related validity as shown by positive correlations between average daily time spent playing games over the past year and IGDS9-SF and MOGQ scores.
💡
Conclusion & Impact:By applying the DSM-5 threshold to diagnose IGD (meeting at least five criteria), the incidence of individuals with IGD was found to be 7.4% (n=56) in the entire sample.Conclusion: These results demonstrate the Turkish version of the IGDT-10 to be a valid and reliable instrument for determining the magnitude of problems associated with IGD among young adults and for early diagnosis of IGD in clinical environments and comparable studies.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Özet
Objective: The main aims of the current study were to test the factor structure, reliability and validity of the Ten-Item Internet Gaming Disorder Test (IGDT-10), a standardized measure to assess symptoms and prevalence of internet gaming disorder (IGD).Method: In the present study, participants were assessed with the IGDT-10, the nine-item IGD Scale – Short Form (IGDS9-SF), and the Motives for Online Gaming Questionnaire (MOGQ).Results: Confirmatory factor analysis showed that the IGDT-10’s one-factor structure (i.e., dimensional structure) was satisfactory. The scale was also reliable (i.e., internally consistent with a Cronbach’s alpha of 0.79) and showed adequate convergent and criterion-related validity as shown by positive correlations between average daily time spent playing games over the past year and IGDS9-SF and MOGQ scores. By applying the DSM-5 threshold to diagnose IGD (meeting at least five criteria), the incidence of individuals with IGD was found to be 7.4% (n=56) in the entire sample.Conclusion: These results demonstrate the Turkish version of the IGDT-10 to be a valid and reliable instrument for determining the magnitude of problems associated with IGD among young adults and for early diagnosis of IGD in clinical environments and comparable studies.
🔖
Cite This Article
EVREN, C., EVREN, B., KUTLU, N., DALBUDAK, E., TOPCU, M. (2020). Psychometric validation of the Turkish Ten-Item Internet Gaming Disorder Test (IGDT-10). Düşünen Adam - Psikiyatri ve Nörolojik Bilimler Dergisi, Cilt: 33 - Sayı: 1, 19–28. https://ajindex.com/articles/150628
Gentile DA, Choo H, Liau A, Sim T, Li D, Fung D, et al. Pathological video game use among youth: a two-year longitudinal study. Pediatrics 2011; 127:e319-e329
Griffiths MA. A ‘components’ model of addiction within a biopsychosocial framework. J Subst Use 2005; 10:191-197
Lemmens JS, Valkenburg P, Peter J. Development and validation of a game addiction scale for adolescents. Media Psychol 2009; 12:77-95
Petry NM, O’Brien CP. Internet gaming disorder and the DSM-5. Addiction 2013;108:1186-1187
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders Fifth edition (DSM-5). Washington DC: American Psychiatric Publishing, 2013
Petry NM, Rehbein F, Gentile DA, Lemmens JS, Rumpf HJ, Mossle T, et al. An international consensus for assessing Internet gaming disorder using the new DSM-5 approach. Addiction 2014; 109:1399-1406
Saunders JB, Hao W, Long J, King DL, Mann K, Fauth-Buhler M, et al. Gaming disorder: its delineation as an important condition for diagnosis, management, and prevention. J Behav Addict 2017; 6:271-279
Aarseth E, Bean AM, Boonen H, Colder Carras M, Coulson M, Das D, et al. Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal. J Behav Addict 2017; 6:267-270
Griffiths MD, van Rooij AJ, Kardefelt-Winther D, Starcevic V, Kiraly O, Pallesen S, et al. Working towards an international consensus on criteria for assessing Internet Gaming Disorder: a critical commentary on Petry et al. (2014). Addiction 2016; 111:167-175
Kiraly O, Griffiths MD, Demetrovics Z. Internet gaming disorder and the DSM-5: Conceptualization, debates, and controversies. Curr Addict Rep 2015; 2:254-262
Kiraly O, Bothe B, Ramos-Diaz J, Rahimi-Movaghar A, Lukavska K, Hrabec O, et al. Ten-Item Internet Gaming Disorder Test (IGDT-10): measurement invariance and cross-cultural validation across seven language-based samples. Psychol Addict Behav 2019; 33:91-103
Kuss DJ, Griffiths MD, Pontes HM. Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: issues, concerns, and recommendations for clarity in the field. J Behav Addict 2017; 6:103-109. 14. van Rooij AJ, Prause N. A critical review of ‘Internet addiction’ criteria with suggestions for the future. J Behav Addict 2014; 3:203-213