Publikasi Scopus 2024 per tanggal 31 Agustus 2024 (707 artikel)

Publikasi Scopus 2024 per tanggal 31 Agustus 2024 (707 artikel)

Chan G.C.K.; Saunders J.B.; Stjepanović D.; Mcclure-Thomas C.; Connor J.; Hides L.; Wood A.; King D.; Siste K.; Long J.; Leung J.K.
Chan, Gary C. K. (54879684200); Saunders, John B. (7402341830); Stjepanović, Daniel (56633409600); Mcclure-Thomas, Caitlin (57543733600); Connor, Jason (55491158300); Hides, Leanne (8769205000); Wood, Andrew (55815995700); King, Daniel (57214845145); Siste, Kristiana (55644113100); Long, Jiang (57190689045); Leung, Janni K. (57214397752)
54879684200; 7402341830; 56633409600; 57543733600; 55491158300; 8769205000; 55815995700; 57214845145; 55644113100; 57190689045; 57214397752
The Gaming Disorder Identification Test (GADIT) - A screening tool for Gaming Disorder based on ICD-11
2024
Journal of Behavioral Addictions
0
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200649183&doi=10.1556%2f2006.2024.00038&partnerID=40&md5=c9e554ad5879312283c52249bcae1aa0
National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia; School of Psychology, The University of Queensland, St Lucia, QLD, Australia; School of Applied Psychology, Griffith University, Australia; College of Education, Psychology and Social Work, Flinders University, Australia; Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Indonesia; Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Discipline of Psychiatry, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
Chan G.C.K., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia, School of Psychology, The University of Queensland, St Lucia, QLD, Australia; Saunders J.B., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia; Stjepanović D., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia, School of Psychology, The University of Queensland, St Lucia, QLD, Australia; Mcclure-Thomas C., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia, School of Psychology, The University of Queensland, St Lucia, QLD, Australia; Connor J., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia, School of Psychology, The University of Queensland, St Lucia, QLD, Australia, Discipline of Psychiatry, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia; Hides L., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia, School of Psychology, The University of Queensland, St Lucia, QLD, Australia; Wood A., School of Applied Psychology, Griffith University, Australia; King D., College of Education, Psychology and Social Work, Flinders University, Australia; Siste K., Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Long J., Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Leung J.K., National Centre for Youth Substance Use Research, The University of Queensland, St Lucia, QLD, Australia, School of Psychology, The University of Queensland, St Lucia, QLD, Australia
Background: Gaming Disorder was included as an addictive disorder in the latest version of the International Classification of Diseases (ICD-11), published in 2022. The present study aimed to develop a screening tool for Gaming Disorder, the Gaming Disorder Identification Test (GADIT), based on the four ICD-11 diagnostic criteria: impaired control, increasing priority, continued gaming despite harm, and functional impairment. Method: We reviewed 297 questionnaire items from 48 existing gaming addiction scales and selected 68 items based on content validity. Two datasets were collected: 1) an online panel (N = 803) from Australia, United States, United Kingdom and Canada, split into a development set (N = 589) and a validation dataset (N = 214); and 2) a university sample (N = 408) from Australia. Item response theory and confirmatory factor analyses were conducted to select eight items to form the GADIT. Validity was established by regressing the GADIT against known correlates of Gaming Disorder. Results: Confirmatory factor analyses of the GADIT showed good model fit (RMSEA=<0.001-0.108; CFI = 0.98-1.00), and internal consistency was excellent (Cronbach's alphas = 0.77-0.92). GADIT scores were strongly associated with the Internet Gaming Disorder Test (IGDT-10), and significantly associated with gaming intensity, eye fatigue, hand pain, wrist pain, back or neck pain, and excessive in-game purchases, in both the validation and the university sample datasets. Conclusion: The GADIT has strong psychometric properties in two independent samples from four English-speaking countries collected through different channels, and shown validity against existing scales and variables that are associated with Gaming Disorder. A cut-off of 5 is tentatively recommended for screening for Gaming Disorder. © 2024 The Author(s).
gaming disorder; psychometrics; reliability; scale development; screening tool; validity
Akademiai Kiado ZRt.
20625871
39088282
Article
Q1
1918
1415

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