Validation of the Gambling Refusal Self-Efficacy Questionnaire for Chinese Undergraduate Students

Although research on self-efficacy in the gambling literature took place more than 25 years ago, only in the recent decade did researchers attempt to develop valid and reliable measures of gambling-related self-efficacy. Recently Casey et al. (J Gambl Stud 24:229–246, 2008) developed the Gambling Refusal Self-Efficacy Questionnaire (GRSEQ) in an Australian sample, which is a valuable tool for gambling research. The first objective of this study is to validate the measure in a new sample. Given that previous research on Chinese’s gamblers’ self-efficacy is lacking, and that related research often used ad-hoc measures of the construct, a second objective of this study is to evaluate whether the GRSEQ is suitable for Chinese people. A sample of 427 university students (56.4 % females, 50.7 % gamblers) answered a questionnaire with measures including the GRSEQ, subjective norms, intentions toward gambling, general self-efficacy, impulsiveness, and pathological gambling symptoms. Evidence was found for the four-factor structure, internal consistency, criterion-related validity, and discriminant validity of the Chinese version of the GRSEQ among this young Chinese group.

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Notes

Scree plot and parallel analysis were used to determine the number of factors as suggested by Fabrigar and Wegener (2012).

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes,50, 179–211. ArticleGoogle Scholar
• American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders. Washington, DC: Author. Google Scholar
• Ashrafioun, L., McCarthy, A., & Rosenberg, H. (2012). Assessing the impact of cue exposure on craving to gamble in university students. Journal of Gambling Studies,28, 363–375. doi:10.1007/s10899-011-9262-0. ArticlePubMedGoogle Scholar
• Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review,84, 191–215. doi:10.1037/0033-295X.84.2.191. ArticleCASPubMedGoogle Scholar
• Bandura, A. (1990). Perceived self-efficacy in the exercise of control over AIDS infection. Evaluation and Program Planning,13, 9–17. doi:10.1016/0149-7189(90)90004-G. ArticleGoogle Scholar
• 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. ArticlePubMedGoogle Scholar
• Brislin, R. (1970). Back translation for cross-cultural research. Journal of Cross-Cultural Psychology,1, 186–216. ArticleGoogle Scholar
• Cao, F., Su, L., Liu, T., & Gao, X. (2007). The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents. European Psychiatry,22, 466–471. doi:10.1016/j.eurpsy.2007.05.004. ArticlePubMedGoogle Scholar
• Caritas Addicted Gamblers Counseling Centre. (2013). Statistical report on the profile of service users (Gamblers)—15 October 2003 to 31 August 2013. Retrieved from http://www.gamblercaritas.org.hk/statistics_e.pdf.
• Casey, L. M., Oei, T. P. S., Melville, K. M., Bourke, E., & Newcombe, P. A. (2008). Measuring self-efficacy in gambling: The gambling refusal self-efficacy questionnaire. Journal of Gambling Studies,24, 229–246. doi:10.1007/s10899-007-9076-2. ArticlePubMedGoogle Scholar
• Condiotte, M. M., & Lichtenstein, E. (1981). Self-efficacy and relapse in smoking cessation programs. Journal of Consulting and Clinical Psychology,49, 648–658. doi:10.1037/0022-006X.49.5.648. ArticleCASPubMedGoogle Scholar
• Dickson, L. M., Derevensky, J. L., & Gupta, R. (2002). The prevention of gambling problems in youth: A conceptual framework. Journal of Gambling Studies,18, 97–159. ArticlePubMedGoogle Scholar
• Enders, C. K. (2001). The performance of the full information maximum likelihood estimator in multiple regression models with missing data. Educational and Psychological Measurement,61, 713–740. doi:10.1177/0013164401615001. ArticleGoogle Scholar
• Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford. Google Scholar
• Eysenck, S. B. G., & Eysenck, H. J. (1977). The place of impulsiveness in a dimensional system of personality description. British Journal of Social and Clinical Psychology,16, 57–68. doi:10.1111/j.2044-8260.1977.tb01003.x. ArticleCASPubMedGoogle Scholar
• Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. New York, NY: Oxford University Press. Google Scholar
• Forcehimes, A. A., & Tonigan, J. S. (2008). Self-efficacy as a factor in abstinence from alcohol/other drug abuse: A meta-analysis. Alcoholism Treatment Quarterly,26, 480–489. doi:10.1080/07347320802347145. ArticleGoogle Scholar
• Gwaltney, C. J., Metrik, J., Kahler, C. W., & Shiffman, S. (2009). Self-efficacy and smoking cessation: A meta-analysis. Psychology of Addictive Behaviors,23, 56–66. doi:10.1037/a0013529. ArticlePubMedGoogle Scholar
• Hodgins, D. C., Peden, N., & Makarchuk, K. (2004). Self-efficacy in pathological gambling treatment outcome: Development of a gambling abstinence self-efficacy scale (GASS). International Gambling Studies,4, 99–108. doi:10.1080/14459790412331296947. ArticleGoogle Scholar
• Kadden, R. M., & Litt, M. D. (2011). The role of self-efficacy in the treatment of substance use disorders. Addictive Behaviors,36, 1120–1126. doi:10.1016/j.addbeh.2011.07.032. ArticlePubMed CentralPubMedGoogle Scholar
• 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. ArticlePubMedGoogle Scholar
• Ladouceur, R., Sylvain, C., Boutin, C., Lachance, S., Doucet, C., Leblond, J., et al. (2001). Cognitive treatment of pathological gambling. Journal of Nervous and Mental Disease,11, 774–780. ArticleGoogle Scholar
• 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, 1184–1188. ArticleCASPubMedGoogle Scholar
• Lin, M.-P., Ko, H.-C., & Wu, J. Y.-W. (2008). The role of positive/negative outcome expectancy and refusal self-efficacy of Internet use on Internet addiction among college students in Taiwan. Cyberpsychology & Behavior,11, 451–457. doi:10.1089/cpb. 2007.0121. ArticleGoogle Scholar
• Loo, J. M. Y., Raylu, N., & Oei, T. P. S. (2008). Gambling among the Chinese: A comprehensive review. Clinical Psychology Review,28, 1152–1166. doi:10.1016/j.cpr.2008.04.001. ArticlePubMedGoogle Scholar
• Martin, R. J., Usdan, S., Nelson, S., Umstattd, M. R., LaPlante, D., Perko, M., et al. (2010). Using the theory of planned behavior to predict gambling behavior. Psychology of Addictive Behaviors,24, 89–97. doi:10.1037/a0018452. ArticleCASPubMedGoogle Scholar
• May, R. K., Whelan, J. P., Steenbergh, T. A., & Meyers, A. W. (2003). The Gambling Self-Efficacy Questionnaire: An initial psychometric evaluation. Journal of Gambling Studies,19, 339–357. doi:10.1023/A:1026379125116. ArticlePubMedGoogle Scholar
• Muthén, L. K., & Muthén, B. O. (2011). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén. Google Scholar
• Pek, J., & MacCallum, R. C. (2011). Sensitivity analysis in structural equation models: Cases and their influence. Multivariate Behavioral Research,46, 202–228. doi:10.1080/00273171.2011.561068. ArticleGoogle Scholar
• Raylu, N., & Oei, T. P. (2004). Role of culture in gambling and problem gambling. Clinical Psychology Review,23, 1087–1114. doi:10.1016/j.cpr.2003.09.005. ArticlePubMedGoogle Scholar
• Shaffer, H. J., & Hall, M. N. (2001). Updating and refining prevalence estimates of disordered gambling behaviour in the United States and Canada. Canadian Journal of Public Health,92, 168–172. CASPubMedGoogle Scholar
• Sylvain, C., Ladouceur, R., & Boisvert, J.-M. (1997). Cognitive and behavioral treatment of pathological gambling: A controlled study. Journal of Consulting and Clinical Psychology,65, 727–732. doi:10.1037/0022-006X.65.5.727. ArticleCASPubMedGoogle Scholar
• Symes, B. A., & Nicki, R. M. (1997). A preliminary consideration of cue-exposure, response-prevention treatment for pathological gambling behaviour: Two case studies. Journal of Gambling Studies,13, 145–157. doi:10.1023/A:1024951301959. ArticleCASPubMedGoogle Scholar
• Tang, C. S., Chua, Z., & Wu, A. M. S. (2011). Impulsivity, life stress, refusal efficacy, and problem gambling among Chinese: Testing the diathesis–stress–coping model. International Journal of Stress Management,18, 263–283. doi:10.1037/a0023812. ArticleGoogle Scholar
• Tang, C. S., & Oei, T. P. (2011). Gambling cognition and subjective well-being as mediators between perceived stress and problem gambling: A cross-cultural study on White and Chinese problem. Psychology of Addictive Behaviors,25, 511–520. doi:10.1037/a0024013. ArticlePubMedGoogle Scholar
• Tang, C. S., & Wu, A. M. S. (2012). Impulsivity as a moderator and mediator between life stress and pathological gambling among Chinese treatment-seeking gamblers. International Journal of Mental Health and Addiction,10, 573–584. doi:10.1007/s11469-011-9355-0. ArticleGoogle Scholar
• Tao, V. Y. K., Wu, A. M. S., Cheung, S. F., & Tong, K. (2011). Development of an indigenous inventory GMAB (gambling motives, attitudes and behaviors) for Chinese gamblers: An exploratory study. Journal of Gambling Studies,27, 99–113. doi:10.1007/s10899-010-9191-3. ArticlePubMedGoogle Scholar
• Toneatto, T., & Ladoceur, R. (2003). Treatment of pathological gambling: A critical review of the literature. Psychology of Addictive Behaviors,17, 284–292. doi:10.1037/0893-164X.17.4.284. ArticlePubMedGoogle Scholar
• Wong, I. L. K., & So, E. M. T. (2003). Prevalence estimates of problem and pathological gambling in Hong Kong. American Journal of Psychiatry,160, 1353–1354. doi:10.1176/appi.ajp.160.7.1353. ArticlePubMedGoogle Scholar
• Worthington, R. L., & Whittaker, T. A. (2006). Scale development research a content analysis and recommendations for best practices. The Counseling Psychologist,34, 806–838. doi:10.1177/0011000006288127. ArticleGoogle Scholar
• Wu, A. M. S., Lai, M. H. C., Tong, K.-K., & Tao, V. Y. K. (2012a). Chinese attitudes, norms, behavioral control and gambling involvement in Macao. Journal of Gambling Studies. doi:10.1007/s10899-012-9344-7.
• Wu, A. M. S., & Tang, C. S. (2012). Problem gambling of Chinese college students: Application of the theory of planned behavior. Journal of Gambling Studies,28, 315–324. doi:10.1007/s10899-011-9250-4. ArticleCASPubMedGoogle Scholar
• Wu, A. M. S., Tao, V. Y. K., Tong, K., & Cheung, S. F. (2012b). Psychometric evaluation of the inventory of gambling motives, attitudes and behaviours (GMAB) among Chinese gamblers. International Gambling Studies,12, 331–347. doi:10.1080/14459795.2012.678273. ArticleCASGoogle Scholar
• Zhang, J. X., & Schwarzer, R. (1995). Measuring optimistic self-beliefs: A Chinese adaptation of the General Self-Efficacy Scale. Psychologia: An International Journal of Psychology in the Orient,38, 174–181. Google Scholar

Acknowledgments

This research project was supported by the University of Macau RC Research Grant MYRG040(Y1-L1)-FSH11-TKK.