Validation of the Revised Inventory of Gambling Motives, Attitudes, and Behaviours (GMAB-R) Among Chinese University Students

Yuan-Yuan Wang, Kwok-Kit Tong, Anise M. S. Wu, Shu Yu

Abstract


The Inventory of Gambling Motives, Attitudes, and Behaviours (GMAB) has been shown to be a valid and reliable tool for measuring gambling cognitions and behaviors among both adult and adolescent gamblers. The present study aimed to validate its revised version (GMAB-R) with a sample of 427 university students in the Macao Special Administrative Region, China. The GMAB-R consists of six factors in the motivational domain, four in the attitudinal domain, and six in the behavioral domain. Our findings suggest that, after minor refinements, the psychometric properties of the GMAB-R remain satisfactory, and the inventory can be used among university students. The subscales in the attitudinal domain were found to be applicable to nongamblers as well. The GMAB-R can be used to facilitate future research in understanding emerging youth gambling and student gambling problems, as well as in prevention efforts.


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References


American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Washington, DC.

Barnes, G. M., Welte, J. W., Hoffman, J. H. & Tidwell, M. C. (2010). Comparisons of gambling and alcohol use among college students and noncollege young people in the United States. Journal of American College Health, 58, 443–452.

Bentler, P. M. (1992). On the fit of models to covariances and methodology to the Bulletin. Psychological Bulletin, 112, 400–404. doi:10.1037/0033-2909.112.3.400

Blinn-Pike, L., Worthy, L. S., & Jonkman, J. (2007). Disordered gambling among college students: A meta-analytic synthesis. Journal of Gambling Studies, 23, 175–183.

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136–162). Newbury Park: Sage.

Byrne, B. M. (1991). The Maslach Burnout Inventory: Validating factorial structure and invariance across intermediate, secondary, and university educators. Multivariate Behavioral Research, 26(4), 583-605.

Caritas Addicted Gamblers Counseling Centre. (2014). Statistical report on the profile of service users (Gamblers)—15 October 2003 to 31 November 2014. Retrieved on 7th January 2015, from http:// www. gamblercaritas. org. hk/ statistics_ e. pdf

Census and Statistics Bureau (2015). Demographic Statistics 2014. DSEC: Macao.

Chen, J. H., Wu, A. M., & Tong, K. K. (2014). Evaluation of Psychometric Properties of the Inventory of Gambling Motives, Attitudes and Behaviours among Chinese Adolescents. International Journal of Mental Health and Addiction, 13(3), 361-375. doi: 10.1007/s11469-014-9536-8

Cheung, N. W. (2014). Low self-control and co-occurrence of gambling with substance use and delinquency among Chinese adolescents. Journal of Gambling Studies, 30(1), 105-124.

Clarke, D. (2004). Impulsiveness, locus of control, motivation and problem gambling. Journal of Gambling Studies, 20, 319-345.

Clarke, D. (2008). Older adults’ gambling motivation and problem gambling: A comparative study. Journal of Gambling Studies, 24, 175-192.

Dickson, L., Derevensky, J. L., & Gupta, R. (2008). Youth gambling problems: Examining risk and protective factors. International Gambling Studies, 8(1), 25-47.

Derevensky, J. L., & Gupta, R. (2000). Prevalence estimates of adolescent gambling: A comparison of the SOGS-RA, DSM-IV-J, and the GA 20 questions. Journal of gambling studies, 16(2-3), 227-251.

Derevensky, J., Sklar, A., Gupta, R., & Messerlian, C. (2010). An empirical study examining the impact of gambling advertisements on adolescent gambling attitudes and behaviors. International Journal of Mental Health and Addiction, 8(1), 21-34.

Dickerson M. & O’Connor, J. (2006). Gambling as an Addictive Behavior: Impaired Control, Harm Minimisation, Treatment and Prevention. Cambridge: Cambridge University Press.

Education and Youth Affairs Bureau (2015). Universities and educational institutions. Retrieved on 11th May 2015, from http://portal.dsej.gov.mo/webdsejspace/internet/Inter_main_page.jsp

Ellenbogen, S., Jacobs, D., Derevensky, J., Gupta, R., & Paskus, T. (2008). Gambling behavior among college student-athletes. Journal of Applied Sport Psychology, 20(3), 349-362.

Fishbein, M., & Ajzen I. (2010). Predicting and Changing behavior: the Reasoned Action Approach. New York: Psychology Press.

Gainsbury, S. M., Russell, A., & Blaszczynski, A. (2014). Are psychology university student gamblers representative of non-university students and general gamblers? A comparative analysis. Journal of Gambling Studies, 30(1), 11-25. doi: 10.1007/s10899-012-9334-9

Geisner, I. M., Bowen, S., Lostutter, T. W., Cronce, J. M., Granato, H., & Larimer, M. E. (2014). Gambling-Related Problems as a Mediator Between Treatment and Mental Health with At-Risk College Student Gamblers. Journal of Gambling Studies, 31(3), 1005-1013. doi: 10.1007/s10899-014-9456-3

Goldstein, A. L., Stewart, S. H., Hoaken, P. N. S. & Flett, G. L. (2014). Mood, motives, and gambling in young adults: An examination of within- and between-person variations using experience sampling. Psychology of Addictive Behaviours , 28, 217-228. Doi: 10.1037/a0033001

Griffiths, M. D. (1990). The cognitive psychology of gambling. Journal of Gambling Studies, 6(1), 31-42.

Gupta, R., & Derevensky, J. L. (1998). Adolescent gambling behavior: A prevalence study and examination of the correlates associated with problem gambling. Journal of Gambling Studies, 14(4), 319-345.

Gupta, R., & Derevensky, J. L. (2000). Adolescents with gambling problems: From research to treatment. Journal of Gambling studies, 16(2-3), 315-342.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River: Pearson Prentice Hall.

Huang, J. H., Jacobs, D. F., Derevensky, J. L., Gupta, R., & Paskus, T. S. (2007). A national study on gambling among US college student-athletes. Journal of American College Health, 56(2), 93-99.

King, S. M., Abrams, K., & Wilkinson, T. (2010). Personality, gender, and family history in the prediction of college gambling. Journal of Gambling Studies, 26, 347–359. doi:10. 1007/ s10899-009-9163-7.

Lam, D., & Ozorio, B. (2014). An exploratory study of the relationship between digit ratio, illusion of control, and risk-taking behavior among Chinese college students. Journal of Gambling Studies, 31(4), 1377-1385.

Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American journal of Psychiatry, 144(9), 1184-1188.

Macau Statistics and Census Services. (2015). Yearbook of statistics 2014. Macao, China. Retrieved on 7th January 2015, from http://www.dsec.gov.mo/Statistic.aspx?NodeGuid=d45bf8ce-2b35-45d9-ab3a-ed645e8af4bb

Marmurek, H. H., Switzer, J., & D’Alvise, J. (2014). A comparison of university student and community gamblers: Motivations, impulsivity, and gambling cognitions. Journal of Behavioral Addictions, 3(1), 54-64.

Moore, S. M., & Ohtsuka, K. (1997). Gambling activities of young Australians: Developing a model of behaviour. Journal of Gambling Studies, 13, 207–236. doi:10.1023/A:1024979232287.

Neighbors, C., Lostutter, T. W., Cronce, J. M., & Larimer, M. E. (2002). Exploring college student gambling motivation. Journal of Gambling Studies, 18(4), 361-370.

Raylu, N., & Oei, T. P. (2004). The gambling urge scale: development, confirmatory factor validation, and psychometric properties. Psychology of Addictive Behaviors, 18(2), 100.

Stewart, S. H., Zark, M., Collins, P., & Klein, R. M. (2008). Subtyping pathological gamblers on the basis of affective motivations for gambling: Relations to gambling problems, drinking problems, and affective motivations for drinking. Psychology of Additive Behaviors, 22, 257-268.

Tang, C. S., & Wu, A. M. S. (2009). Screening for college problem gambling in Chinese societies: Psychometric properties of the Chinese version of the south oaks gambling screen (C-SOGS). International Gambling Studies, 9, 263–274. doi:10.1080/14459790903348194

Tao, V. Y. K., Wu, A. M. S., Cheung, S. F., & Tong, K. K. (2011). Development of an indigenous inventory GMAB (gambling motives, attitudes and behaviours) for Chinese gamblers: An exploratory study. Journal of Gambling Studies, 27, 99–113. doi:10.1007/s10899-010-9191-3

Tertiary Education Office of the Government of the Macao SAR (2015). Tertiary Education Services Office Year Book. GAES: Macao.

Wan, P. Y. K., Kim, S. S., & Elliot, S. (2013). Behavioral Differences in Gaming Patterns among Chinese Subcultures as Perceived by Macao Casino Staff. Cornell Hospitality Quarterly, 54(4), 358-369.

Williams, R. J., Connolly, D., Wood, R. T., & Nowatzki, N. (2006). Gambling and problem gambling in a sample of university students. Journal of Gambling Issues. Retrieved on 11th May 2015, from https://www.uleth.ca/dspace/bitstream/handle/10133/377/jgi_16_williams.pdf?sequence=1

Wu, A. M., Lai, M. H., & Tong, K. K. (2014). Internet Gambling Among Community Adults and University Students in Macao. Journal of Gambling Studies, 1-15.

Wu, A. M. S., Lai, M. H. C., Tong, K. K., & Tao, V. Y. K. (2013). Chinese attitudes, norms, behavioral control and gambling involvement in Macao. Journal of Gambling Studies, 29, 749–763. doi:10.1007/s10899-012-9344-7

Wu, A., & Lau, J. T. (2014). Gambling in China: Socio‐historical evolution and current challenges. Addiction, 110(2), 210-216. doi:10.1111/add.12710

Wu, A. M. S., & Tang, C. S. (2011). Validation of the Chinese version of the gambling motivation scale (C-GMS). Journal of Gambling Studies, 27, 709–724. doi:10.1007/s10899-010-9234-9

Wu, A. M. S., Tao, V. Y. K., Tong, K. K., & Cheung, S. F. (2012). Psychometric evaluation of inventory of gambling motives, attitudes and behaviours (GMAB) among Chinese gamblers. International Gambling Studies, 12, 331–347. doi:10.1080/14459795.2012.67827




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