Item response theory analysis of the recoded Internet Gaming Disorder Scale-Short-Form (IGDS9-SF)

Gomez, R., Stavropoulos, V., Beard, C. and Pontes, H.M. ORCID: 0000-0001-8020-7623, 2018. Item response theory analysis of the recoded Internet Gaming Disorder Scale-Short-Form (IGDS9-SF). International Journal of Mental Health and Addiction. ISSN 1557-1874

[img]
Preview
Text
10662_Pontes.pdf - Published version

Download (1MB) | Preview

Abstract

Based on the nine criteria for Internet gaming disorder (IGD) in DSM-5, the Internet Gaming Disorder Scale 9-Short Form (IGDS9-SF; Pontes and Griffiths 2015) is the most widely used questionnaire for assessing IGD. The present study examined support for the unidimensional factor structure of the instrument, with a group of 868 adolescent and adult gamers from the USA, with criteria recoded as present or absent. The two-parameter logistic model (2PLM) was used to examine the item response theory properties of the criteria included in the measure. Confirmatory factor analysis supported the one-factor model. The 2PLM analysis indicated that all the criteria were strong discriminators of high and low latent IGD. Furthermore, the items measured more of the GAD dimension and with more precision from around +2 SD from the mean trait level. The implications of the findings for interpreting the IGDS9-SF scores for clinical practice are discussed.

Item Type: Journal article
Publication Title: International Journal of Mental Health and Addiction
Creators: Gomez, R., Stavropoulos, V., Beard, C. and Pontes, H.M.
Publisher: Springer New York
Date: 26 March 2018
ISSN: 1557-1874
Identifiers:
NumberType
10.1007/s11469-018-9890-zDOI
Rights: © the author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Divisions: Schools > School of Social Sciences
Depositing User: Jonathan Gallacher
Date Added: 28 Mar 2018 07:55
Last Modified: 28 Mar 2018 07:55
URI: http://irep.ntu.ac.uk/id/eprint/33126

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year