Psychometric validation of the Turkish nine-item Internet Gaming Disorder Scale–Short Form (IGDS9-SF). (July 2018)

• Record Type: Journal Article
• Authors: Evren, Cuneyt; Dalbudak, Ercan; Topcu, Merve; Kutlu, Nilay; Evren, Bilge; Pontes, Halley M.
• Is Part Of: Psychiatry research. Volume 265(2018)
• Page Start: 349
• Page End: 354
• Publication Date: 2018-07
• Subjects: E-sports -- Internet Gaming Disorder -- IGDS9-SF -- Scale -- University students -- Young adults; Psychiatry -- Periodicals; Psychiatry -- periodicals; Psychiatrie -- Périodiques; 616.89
• DOI: 10.1016/j.psychres.2018.05.002
• Languages: English
• ISSNs: 0165-1781

Abstract

Highlights: The IGDS9-SF was psychometrically investigated using Turkish version. Confirmatory Factor Analysis was used to investigate the factor structure and dimensionality of the IGDS9-SF. The factor structure of the Turkish version of the IGDS9-SF measure a unidimensional construct. The IGDS9-SF was reliable and showed good convergent and criterion-related validities. The prevalence of disordered gamers for the whole sample was 0.96% and it was 2.57% for the e-sports players. Abstract: The main aims of the current study were to test the factor structure, reliability and validity of the nine-item Internet Gaming Disorder Scale-Short Form (IGDS9-SF), a standardized measure to assess symptoms and prevalence of Internet Gaming Disorder ( IGD). In the present study participants were assessed with the IGDS9-SF, nine-item Internet Gaming Disorder Scale (IGDS) and the Young's Internet Addiction Test-Short Form (YIAT-SF). Confirmatory factor analyzes demonstrated that the factor structure (i.e., the dimensional structure) of the IGDS9-SF was satisfactory. The scale was also reliable (i.e., internally consistent with a Cronbach's alpha of 0.89) and showed adequate convergent and criterion-related validity, as indicated by statistically significant positive correlations between average time daily spent playing games during last year, IGDS and YIAT-SF scores. By applying the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) threshold for diagnosing IGD (e.g., endorsing at least five criteria), it was found that the prevalence of disordered gamers ranged from 0.96% (whole sample) to 2.57% (e-sports players). These findings support the Turkish version of the IGDS9-SF as a valid and reliable tool for determining the extent of IGD-related problems among young adults and for the purposes of early IGD diagnosis in clinical settings and similar research.