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Development and psychometric validation of internet gaming disorder Scale - Short-Form (IGDS9-SF) in a Brazilian sample

Citation

Severo, RB and Barbosa, APPN and Fouchy, DFC and da Cunha Coelho, FM and Pinheiro, RT and de Figueiredo, VLM and de Siqueira Afonso, V and Pontes, HM and Pinheiro, KAT, Development and psychometric validation of internet gaming disorder Scale - Short-Form (IGDS9-SF) in a Brazilian sample, Addictive Behaviors ISSN 0306-4603 (2019) [Refereed Article]

Copyright Statement

© 2019 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.addbeh.2019.106191

Abstract

Objectives: The aim of this study was to develop and examine the psychometric properties of the IGDS9-SF in a sample of Brazilian gamers and to find the best cut-off point for this instrument using a normative and clinically diagnosed sample of gamers.

Methods: A total of 610 participants were recruited to the present study. Construct validity was assessed through Exploratory and Confirmatory Factor Analysis (EFA, CFA). Criterion-related validity was established through the associations with Game Addiction Scale (GAS) and weekly gameplay. Reliability analysis was performed using the Cronbach’s alpha (α) as the indicator of internal consistency. A cut-off point was estimated using the Receiver Operating Characteristics Curve (ROC curve) where the results of a clinical assessment was used as the gold standard.

Results: EFA and CFA findings confirmed the single-factor structure of the IGDS9-SF. Positive correlations indicated adequate criterion-related validity, and the scale was shown to be reliable (α=0.82). Finally, the optimal cut-off point for risky gaming was found to be >16 points and for diagnosis to be >21 points.

Conclusions: This study provides validity and reliability evidence for the use of the Brazilian version of the IGDS9-SF in the assessment of Internet Gaming Disorder, further supporting its usefulness as a robust psychometric tool that can be employed in clinical and research settings in Brazil.

Item Details

Item Type:Refereed Article
Keywords:addictive behaviors, computer games, IGD, IGDS9-SF, internet gaming disorder, psychometrics
Research Division:Psychology and Cognitive Sciences
Research Group:Psychology
Research Field:Personality, Abilities and Assessment
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Mental Health
UTAS Author:Pontes, HM (Dr Halley Pontes)
ID Code:136365
Year Published:2019
Deposited By:Psychology
Deposited On:2019-12-16
Last Modified:2020-03-31
Downloads:0

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