Examining the Factor Structure of the Victorian Gambling Screen in Chinese Casino Workers
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This study examined the factor structure of the 21-item Victorian Gambling Screen (VGS) and its 15-item Harm to Self (HS) Scale in order to address the need for a valid, reliable, and culturally-adaptive tool that would provide a harm-based assessment of problem gambling and identify pathological gambling among Chinese casino workers (N = 817) in Macau, where the economy relies heavily on gambling industry. Competing models of VGS, as well as competing models of HS Scale, were tested and compared using confirmatory factor analysis (CFA) and subsequent chi-square difference test. Moreover, the relationships of VGS and HS Scale factors with gambling behaviors (i.e., gambling frequency and amount spent in gambling) were investigated. Results revealed that: (1) the 3-factor model of VGS (enjoyment of gambling [EG], harm to self [HS], and harm to partner [HP]) and the 2-factor model of HS Scale (difficulty in impulse control and cognitive-emotional dissonance) best fit the data; (2) all factors of VGS and HS Scale, except for HP, were found to correlate with gambling behaviors; and (3) the association of EG with amount spent in gambling is stronger than its association with gambling frequency. The findings of the study support the validity and cross-cultural utility of the Victorian Gambling Screen in Asian, particularly Chinese, casino workers.
KeywordsVictorian gambling screen Factor structure Problem gambling Casino workers
This research received no specific grant from any funding agency, commercial or not-for-profit.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study. This article does not contain any studies with animals performed by any of the authors.
- Bentler, P. M. (2004). EQS 6 Structural Equation Program Manual. Encino: Multivariate Software.Google Scholar
- Ben-Tovim, D., Esterman, A., Tolchard, B., & Battersby, M. W. (2001). The Victorian Gambling Screen: Project report. Melbourne: Victorian Research Panel.Google Scholar
- Byrne, B. M. (2006). Structural equation modeling with EQS: Basic concepts, applications, and programming (2nd ed.). Mahwah: Lawrence Erlbaum Assoc. Inc..Google Scholar
- Chan, E. M. L., Dowling, N. A., Jackson, A. C., & Shek, D. T. L. (2016). Gambling related family coping and the impact of problem gambling on families in Hong Kong. Asian Journal of Gambling Issues and Public Health, 6(1). https://doi.org/10.1186/s40405-016-0009-9.
- Donner, A., & Eliasziw, M. (1994). Statistical implications of the choice between a dichotomous or continuous trait in studies of interobserver agreement. Biometrics, 550–555.Google Scholar
- Dowling, N. A., Cowlishaw, S., Jackson, A. C., Merkouris, S. S., Francis, K. L., & Christensen, D. R. (2015). Prevalence of psychiatric co-morbidity in treatment-seeking problem gamblers: a systematic review and meta-analysis. Australian & New Zealand Journal of Psychiatry, 49(6), 519–539.CrossRefGoogle Scholar
- Ellison, L. J., Vale, K., & Ladouceur, R. (2017). Disordered Gambling: The Effects of a Brief, Online Cognitive Intervention in an Australian Sample. Open Access Library Journal, 4(e3288). https://doi.org/10.4236/oalib.1103288.
- GGRAsia (2017). Macau residents gambled more in 2016: Study. Retrieved from: http://www.ggrasia.com/macau-residents-gambled-more-in-2016-study/.
- Hing, N., & Breen, H. (2008). How working in a gaming venue can lead to problem gambling: The experiences of six gaming venue staff. Journal of Gambling Issues, 21, 21–29.Google Scholar
- Macau Statistics and Census Service (2017). Employment Survey December 2016–February 2017. Macao, People’s Republic of China.Google Scholar
- Mackinnon, S. P., Lambe, L., & Stewart, S. H. (2016). Relations of five-factor personality domains to gambling motives in emerging adult gamblers: A longitudinal study. Journal of Gambling Issues, 34, 179–200.Google Scholar
- Poole, J. C., Kim, H. S., Dobson, K. S., & Hodgins, D. C. (2017). Adverse childhood experiences and disordered gambling: Assessing the mediating role of emotion dysregulation. Journal of Gambling Studies. https://doi.org/10.1007/s10899-017-9680-8.
- Support, E. Q. S. (2012). Multivariate Software, Inc. Retrieved from www.mvsoft.com/eqs60.htm.
- Tolchard, B., & Stuhlmiller, C. M. (2016). The New England 4G framework for the treatment of a common health concerns: a gambling case analysis. Asian Journal of Gambling Issues and Public Health, 6(10). https://doi.org/10.1186/s40405-016-0019-7.
- Wenzel, M., McMillen, J., Marshall, D. & Ahmed, E. (2004).Validation of the Victorian Gambling Screen (Gambling Research Panel Report No. 7). Melbourne: Department of Justice, Victorian Government.Google Scholar