eCite Digital Repository

Measurement invariance of the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF) between Australia, the USA, and the UK


Stavropoulos, V and Beard, C and Griffiths, MD and Buleigh, T and Gomez, R and Pontes, HM, Measurement invariance of the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF) between Australia, the USA, and the UK, International Journal of Mental Health and Addiction, 16, (2) pp. 377-392. ISSN 1557-1874 (2017) [Refereed Article]


Copyright Statement

Copyright 2017 The Author(s) Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1007/s11469-017-9786-3


The Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) is widely used to assess Internet Gaming Disorder behaviors. Investigating cultural limitations and implications in its applicability is imperative. One way to evaluate the cross-cultural feasibility of the measure is through measurement invariance analysis. The present study used Multigroup Confirmatory Factor Analysis (MGCFA) to examine the IGDS9-SF measurement invariance across gamers from Australia, the United States of America (USA), and the United Kingdom (UK). To accomplish this, 171 Australian, 463 USA, and 281 UK gamers completed the IGDS9-SF. Although results supported the one-factor structure of the IGD construct, they indicated cross-country variations in the strength of the relationships between the indicators and their respective factor (i.e., non-invariant loadings of items 1, 2, 5), and that the same scores may not always indicate the same level of IGD severity across the three groups (i.e., non-invariant intercepts for items 1, 5, 7, 9).

Item Details

Item Type:Refereed Article
Keywords:IGD, IGDS9-SF, measurement invariance, gamers, internet gaming disorder, gaming addiction
Research Division:Health Sciences
Research Group:Health services and systems
Research Field:Mental health services
Objective Division:Health
Objective Group:Public health (excl. specific population health)
Objective Field:Mental health
UTAS Author:Pontes, HM (Dr Halley de Oliveira Miguel Pontes)
ID Code:132472
Year Published:2017
Web of Science® Times Cited:47
Deposited By:Psychology
Deposited On:2019-05-08
Last Modified:2019-06-14
Downloads:15 View Download Statistics

Repository Staff Only: item control page