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

•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 reliab...

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Bibliographic Details
Published in:Psychiatry research 2018-07, Vol.265, p.349-354
Main Authors: Evren, Cuneyt, Dalbudak, Ercan, Topcu, Merve, Kutlu, Nilay, Evren, Bilge, Pontes, Halley M.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Behavior, Addictive - diagnosis
Behavior, Addictive - epidemiology
Behavior, Addictive - psychology
Diagnostic and Statistical Manual of Mental Disorders
E-sports
Female
Humans
IGDS9-SF
Internet
Internet Gaming Disorder
Male
Psychiatric Status Rating Scales - standards
Psychometrics
Reproducibility of Results
Scale
Turkey - epidemiology
University students
Video Games - adverse effects
Video Games - psychology
Young Adult
Young adults
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Summary:•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. 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.
ISSN:0165-1781
1872-7123
DOI:10.1016/j.psychres.2018.05.002