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Article: Psychometric evaluation and comparison of two gaming disorder measures derived from the DSM-5 and ICD-11 frameworks
Title | Psychometric evaluation and comparison of two gaming disorder measures derived from the DSM-5 and ICD-11 frameworks |
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Authors | |
Keywords | internet gaming disorder online gaming gaming addiction behavioral addiction scale validation |
Issue Date | 2020 |
Publisher | Frontiers Research Foundation. The Journal's web site is located at https://www.frontiersin.org/journals/psychiatry |
Citation | Frontiers in Psychiatry, 2020, v. 11, p. article no. 577366 How to Cite? |
Abstract | Gaming disorder was listed as a condition for further study in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013, and measures of the disorder have mushroomed in the years since. The Gaming Disorder Test (GDT) was developed after gaming disorder was officially included in the 11th Revision of the International Classification of Diseases (ICD-11) in 2018. However, it remains unknown whether the GDT, which is based on the ICD-11 framework, is psychometrically similar to or different from the popular nine-item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) based on the DSM-5 framework. To address this important but unexplored issue, the present study evaluated and compared the psychometric properties of the GDT and IGDS9-SF in a sample of 544 adult gamers (56.2% men; mean age = 28.8, SD = 8.55). The results revealed both measures to have good reliability, structural validity, and criterion validity, with the exception of one IGDS9-SF item with a low factor loading. Moreover, the IGDS9-SF exhibited scalar measurement invariance for gender and age but only partial metric invariance for employment status, whereas the GDT exhibited scalar measurement invariance for all three demographic characteristics. Finally, the GDT displayed incremental validity over the IGDS9-SF in explaining gaming time, but not social anxiety and depressive symptoms. This study thus contributes to the literature by comparing measures derived from distinct gaming disorder diagnostic frameworks empirically. Recommendations for the selection of gaming disorder measures by researchers and practitioners are discussed. |
Persistent Identifier | http://hdl.handle.net/10722/304480 |
ISSN | 2021 Impact Factor: 5.435 2020 SCImago Journal Rankings: 1.363 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, HY | - |
dc.contributor.author | Cheng, C | - |
dc.date.accessioned | 2021-09-23T09:00:37Z | - |
dc.date.available | 2021-09-23T09:00:37Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Frontiers in Psychiatry, 2020, v. 11, p. article no. 577366 | - |
dc.identifier.issn | 1664-0640 | - |
dc.identifier.uri | http://hdl.handle.net/10722/304480 | - |
dc.description.abstract | Gaming disorder was listed as a condition for further study in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013, and measures of the disorder have mushroomed in the years since. The Gaming Disorder Test (GDT) was developed after gaming disorder was officially included in the 11th Revision of the International Classification of Diseases (ICD-11) in 2018. However, it remains unknown whether the GDT, which is based on the ICD-11 framework, is psychometrically similar to or different from the popular nine-item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) based on the DSM-5 framework. To address this important but unexplored issue, the present study evaluated and compared the psychometric properties of the GDT and IGDS9-SF in a sample of 544 adult gamers (56.2% men; mean age = 28.8, SD = 8.55). The results revealed both measures to have good reliability, structural validity, and criterion validity, with the exception of one IGDS9-SF item with a low factor loading. Moreover, the IGDS9-SF exhibited scalar measurement invariance for gender and age but only partial metric invariance for employment status, whereas the GDT exhibited scalar measurement invariance for all three demographic characteristics. Finally, the GDT displayed incremental validity over the IGDS9-SF in explaining gaming time, but not social anxiety and depressive symptoms. This study thus contributes to the literature by comparing measures derived from distinct gaming disorder diagnostic frameworks empirically. Recommendations for the selection of gaming disorder measures by researchers and practitioners are discussed. | - |
dc.language | eng | - |
dc.publisher | Frontiers Research Foundation. The Journal's web site is located at https://www.frontiersin.org/journals/psychiatry | - |
dc.relation.ispartof | Frontiers in Psychiatry | - |
dc.rights | This Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | internet gaming disorder | - |
dc.subject | online gaming | - |
dc.subject | gaming addiction | - |
dc.subject | behavioral addiction | - |
dc.subject | scale validation | - |
dc.title | Psychometric evaluation and comparison of two gaming disorder measures derived from the DSM-5 and ICD-11 frameworks | - |
dc.type | Article | - |
dc.identifier.email | Cheng, C: ceccheng@hku.hk | - |
dc.identifier.authority | Cheng, C=rp00588 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3389/fpsyt.2020.577366 | - |
dc.identifier.pmid | 33391047 | - |
dc.identifier.pmcid | PMC7773660 | - |
dc.identifier.scopus | eid_2-s2.0-85098633286 | - |
dc.identifier.hkuros | 325708 | - |
dc.identifier.volume | 11 | - |
dc.identifier.spage | article no. 577366 | - |
dc.identifier.epage | article no. 577366 | - |
dc.identifier.isi | WOS:000603628700001 | - |
dc.publisher.place | Switzerland | - |