Test-Retest Measurement Invariance of the Nine-Item Internet Gaming Disorder Scale in Two Countries
A Preliminary Longitudinal Study
Bibliographic Data
| ID | 15440355 |
|---|---|
| Authors | Vasileios Stavropoulos (0000-0001-6964-4662, Cairnmillar Institute), Luke Bamford (Cairnmillar Institute), Charlotte Beard (0000-0003-2121-3286, Palo Alto University), Rapson Gomez (0000-0001-7637-1551, Federation University), Mark D Griffiths (0000-0001-8880-6524, Nottingham Trent University, corresponding author) |
| Year | 2019 |
| Volume | 19 |
| Issue | 6 |
| Pages | 2003-2020 |
| Publication date | 2019-05-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Mental Health and Addiction (JOURNAL) |
| Journal identifiers | ISSN: 1557-1874 • E-ISSN: 1557-1882 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11469-019-00099-w |
| OpenAlex | W2946781375 |
| Language | EN |
| Citations received | 6 |
| References cited | 45 |
The reliable longitudinal assessment of Internet Gaming Disorder (IGD) behaviors is viewed by many as a pivotal clinical and research priority. The present study is the first to examine the test-retest measurement invariance of IGD ratings, as assessed using the short-form nine-item Internet Gaming Disorder Scale (IGDS9-SF) over an approximate period of 3 months, across two normative national samples. Differences referring to the mode of the data collection (face-to-face [FtF] vs. online) were also considered. Two sequences of successive multiple group confirmatory factor analyses (CFAs) were calculated to longitudinally assess the psychometric properties of the IGDS9-SF using emergent adults, gamers from (i) the United States of America (USA; N = 120, 18–29 years, Mean age = 22.35, 51.6% male) assessed online and; and (ii) Australia ( N = 61, 18–31 years, Mean age = 23.02, 75.4% male) assessed FtF. Configural invariance was established across both samples, and metric and scalar invariances were supported for the USA sample. Interestingly, only partial metric (factor loadings for Items 2 and 3 non-invariant) and partial scalar invariance (i.e., all thresholds of Items 1 and 2, and thresholds 1, 3, for Items 4, 6, 8, and 9 non-invariant) were established for the Australian sample. Findings are discussed in the light of using IGDS9-SF to assess and monitor IGD behaviors over time in both in clinical and non-clinical settings
Confirmatory factor analysis · Health psychology · Measurement invariance · Metric (unit · Public health · Statistics · Structural equation modeling · Child Development and Digital Technology · Clinical Psychology · Impact of Technology on Adolescents · Mathematics · Medicine · Psychology · Social Media and Politics
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1 |
| Citation span | 2020 - 2023 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 6 |