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Journal of Gambling Studies

, Volume 31, Issue 1, pp 33–57 | Cite as

Personal Gambling Expectancies Among Asian American and White American College Students

  • Alan Ka Ki Chan
  • Nolan Zane
  • Gloria M. Wong
  • Anna V. Song
Original Paper

Abstract

Many college students are involved in gambling behavior as a recreational activity. Their involvement could potentially develop into problem gambling, an issue of increasing concern to student health. At the same time, evidence suggests that Asian Americans are overrepresented amongst problem gamblers in this age period. Research on factors related to initiation and development of problem gambling in college students is necessary to inform the development of effective and culturally-sensitive prevention efforts against gambling. The relationships between personal gambling expectancies at two levels of specificity (two general and six specific types of expectancies) and college student gambling at two levels of behavior (initiation and problems) were examined in a sample of 813 Asian American and White American college students. The study aimed to address (a) whether expectancies explained ethnic differences in gambling, (b) ethnic similarities and differences in the pattern of relationships between expectancies and gambling, and (c) whether expectancies that emerged in both ethnic groups have a greater risk or protective effect for one group than another. Results showed that Asian American students reported more problem gambling than White American students, but expectancies did not account for this group difference. Risk and protective factors for initiation were relatively similar between groups, but different patterns of risk emerged for each group for problem gambling. Implications for college primary prevention and harm reduction programs are discussed.

Keywords

Gambling initiation Problem gambling Expectancies Bifactor model Asian Americans 

Notes

Acknowledgments

This study was supported by the Asian American Center on Disparities Research (National Institute of Mental Health Grant: 1P50MH073511-01A2). The authors would like to thank Drs. Shelley A. Blozis and Keith F. Widaman at the University of California, Davis for their guidance and editorial comments, and Lauren A. Nguyen for her work on this study.

References

  1. Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480. doi: 10.1037/0003-066X.55.5.469.CrossRefPubMedGoogle Scholar
  2. Arthur, D., Tong, W. L., Chen, C. P., Hing, A. Y., Sagara-Rosemeyer, M., Kua, E. H., et al. (2008). The validity and reliability of four measures of gambling behaviour in a sample of Singapore university students. Journal of Gambling Studies, 24(4), 451–462. doi: 10.1007/s10899-008-9103-y.CrossRefPubMedGoogle Scholar
  3. Bandura, A. (1978). The self system in reciprocal determinism. American Psychologist, 33(4), 344–358. doi: 10.1037/0003-066X.33.4.344.CrossRefGoogle Scholar
  4. Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. doi: 10.1177/1090198104263660.CrossRefGoogle Scholar
  5. Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. doi: 10.1046/j.1360-0443.2002.00015.x.CrossRefPubMedGoogle Scholar
  6. Blinn-Pike, L., Worthy, S. L., & Jonkman, J. N. (2007). Disordered gambling among college students: A meta-analytic synthesis. Journal of Gambling Studies, 23, 175–183. doi: 10.1007/s10899-006-9036-2.CrossRefPubMedGoogle Scholar
  7. Breslau, J., Kendler, K. S., Su, M., Gaxiola-Aguilar, S., & Kessler, R. C. (2005). Lifetime risk and persistence of psychiatric disorders across ethnic groups in the United States. Psychological Medicine, 35, 317–327. doi: 10.1017/S0033291704003514.CrossRefPubMedCentralPubMedGoogle Scholar
  8. Brevers, D., Cleeremans, A., Hermant, C., Tibboel, H., Kornreich, C., Verbanck, P., et al. (2012). Implicit gambling attitudes in problem gamblers: Positive but not negative implicit associations. Journal of Behavior Therapy and Experimental Psychiatry, 44(1), 94–97. doi: 10.1016/j.jbtep.2012.07.008.CrossRefPubMedGoogle Scholar
  9. Burge, A. N., Pietrzak, R. H., Molina, C. A., & Petry, N. M. (2004). Age of gambling initiation and severity of gambling and health problems among older adult problem gamblers. Psychiatric Services, 55(12), 1437–1439. doi: 10.1176/appi.ps.55.12.1437.CrossRefPubMedGoogle Scholar
  10. Chen, F. F., Sousa, K. H., & West, S. G. (2005). Teacher’s corner: Testing measurement invariance of second-order factor models. Structural Equation Modeling, 12(3), 471–492. doi: 10.1207/s15328007sem1203_7.CrossRefGoogle Scholar
  11. Chen, F. F., West, S. G., & Sousa, K. H. (2006). A comparison of bifactor and second-order models of quality of life. Multivariate Behavioral Research, 41(2), 189–225. doi: 10.1207/s15327906mbr4102_5.CrossRefGoogle Scholar
  12. Cooper, M. L., Russell, M., Skinner, J. B., & Windle, M. (1992). Development and validation of a three-dimensional measure of drinking motives. Psychological Assessment, 4(2), 123–132. doi: 10.1037/1040-3590.4.2.123.CrossRefGoogle Scholar
  13. Coventry, K. R., & Brown, R. I. F. (1993). Sensation seeking, gambling and gambling addictions. Addiction, 88(4), 541–554. doi: 10.1111/j.1360-0443.1993.tb02061.x.CrossRefPubMedGoogle Scholar
  14. Coxe, S., West, S. G., & Aiken, L. S. (2009). The analysis of count data: A gentle introduction to Poisson regression and its alternatives. Journal of Personality Assessment, 91(2), 121–136. doi: 10.1080/00223890802634175.CrossRefPubMedGoogle Scholar
  15. D’Amico, E. J., & Fromme, K. (2000). Implementation of the risk skills training program: A brief intervention targeting adolescent participation in risk behaviors. Cognitive and Behavioral Practice, 7(1), 101–117. doi: 10.1016/S1077-7229(00)80011-5.CrossRefGoogle Scholar
  16. Derevensky, J. L., Gupta, R., Dickson, L., & Deguire, A.-E. (2005). Prevention efforts toward reducing gambling problems. In J. L. Derevensky & R. Gupta (Eds.), Gambling problems in youth: Theoretical and applied perspectives (pp. 211–230). New York: Springer.CrossRefGoogle Scholar
  17. Dickson, L. M., Derevensky, J. L., & Gupta, R. (2002). The prevention of gambling problems in youth: A conceptual framework. Journal of Gambling Studies, 18(2), 97–159. doi: 10.1023/A:1015557115049.CrossRefPubMedGoogle Scholar
  18. Dickson, L. M., Derevensky, J. L., & Gupta, R. (2004). Harm reduction for the prevention of youth gambling problems: Lessons learned from adolescent high-risk behavior prevention programs. Journal of Adolescent Research, 19(2), 233–263. doi: 10.1177/0743558403258272.CrossRefGoogle Scholar
  19. Dickson, L. M., Derevensky, J. L., & Gupta, R. (2008). Youth gambling problems: Examining risk and protective factors. International Gambling Studies, 8(1), 25–47. doi: 10.1080/14459790701870118.CrossRefGoogle Scholar
  20. DiClemente, C. C., Story, M., & Murray, K. (2000). On a roll: The process of initiation and cessation of problem gambling among adolescents. Journal of Gambling Studies, 16(2–3), 289–313. doi: 10.1023/A:1009441216698.CrossRefPubMedGoogle Scholar
  21. Emond, M. S., & Marmurek, H. H. C. (2010). Gambling related cognitions mediate the association between thinking style and problem gambling severity. Journal of Gambling Studies, 26(2), 257–267. doi: 10.1007/s10899-009-9164-6.CrossRefPubMedGoogle Scholar
  22. Engwall, D., Hunter, R., & Steinberg, M. (2004). Gambling and other risk behaviors on university campuses. Journal of American College Health, 52(6), 245–255. doi: 10.3200/JACH.52.6.245-256.CrossRefPubMedGoogle Scholar
  23. Everitt, B. J., & Robbins, T. W. (2005). Neural systems of reinforcement for drug addiction: From actions to habits to compulsion. Nature Neuroscience, 8(11), 1481–1489. doi: 10.1038/nn1579.CrossRefPubMedGoogle Scholar
  24. Fong, T., Campos, M., Rosenthal, R., Brecht, M.-L., Schwartz, B., Davis, A., et al. (2010). Problem gambling knowledge and perceived community impact among Asian-Pacific Islanders and non Asian-Pacific Islanders. Journal of Immigrant and Minority Health, 12(2), 173–178. doi: 10.1007/s10903-009-9238-7.CrossRefPubMedCentralPubMedGoogle Scholar
  25. Fritz, M. S., & MacKinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18, 233–239. doi: 10.3758/BRM.40.1.55.CrossRefPubMedCentralPubMedGoogle Scholar
  26. Gerrard, M., Gibbons, F. X., Houlihan, A. E., Stock, M. L., & Pomery, E. A. (2008). A dual-process approach to health risk decision making: The prototype willingness model. Developmental Review, 28(1), 29–61. doi: 10.1016/j.dr.2007.10.001.CrossRefGoogle Scholar
  27. Gillespie, M. A. M., Derevensky, J., & Gupta, R. (2007a). I. Adolescent problem gambling: Developing a gambling expectancy instrument. Journal of Gambling Issues, 19(1), 51–68. doi: 10.4309/jgi.2007.19.3.CrossRefGoogle Scholar
  28. Gillespie, M. A. M., Derevensky, J., & Gupta, R. (2007b). II. The utility of outcome expectancies in the prediction of adolescent gambling behaviour. Journal of Gambling Issues, 19(1), 69–85. doi: 10.4309/jgi.2007.19.4.CrossRefGoogle Scholar
  29. Gonzalez, H. M., Tarraf, W., Whitfield, K. E., & Vega, W. A. (2010). The epidemiology of major depression and ethnicity in the United States. Journal of Psychiatric Research, 44(15), 1043–1105. doi: 10.1016/j.jpsychires.2010.03.017.CrossRefPubMedCentralPubMedGoogle Scholar
  30. Gupta, R., Nower, L., Derevensky, J. L., Blaszczynski, A., Faregh, N., & Temcheff, C. (2012). Problem gambling in adolescents: An examination of the Pathways Model. Journal of Gambling Studies. Advance online publication. doi: 10.1007/s10899-012-9322-0.
  31. Halpern-Felsher, B. L., Biehl, M., Kropp, R. Y., & Rubenstein, M. L. (2004). Perceived risks and benefits of smoking: Differences among adolescents with different smoking experiences and intentions. Preventive Medicine, 39(3), 559–567. doi: 10.1016/j.ypmed.2004.02.017.CrossRefPubMedGoogle Scholar
  32. Hurt, H., Giannetta, J. M., Brodsky, N. L., Shera, D., & Romer, D. (2008). Gambling initiation in preadolescents. Journal of Adolescent Health, 43(1), 91–93. doi: 10.1016/j.jadohealth.2007.12.018.CrossRefPubMedGoogle Scholar
  33. Jang, M., Lee, E., & Woo, K. (1998). Income, language, and citizen status: Factors affecting the health care access and utilization of Chinese Americans. Health Social Work, 23(2), 136–145. doi: 10.1093/hsw/23.2.136.CrossRefPubMedGoogle Scholar
  34. Jessor, R. (1987). Problem-behavior theory, psychosocial development, and adolescent problem drinking. British Journal of Addiction, 82(4), 331–342. doi: 10.1111/j.1360-0443.1987.tb01490.x.CrossRefPubMedGoogle Scholar
  35. Jessor, R. (1991). Risk behavior in adolescence: A psychosocial framework for understanding and action. Journal of Adolescent Health, 12(8), 597–605. doi: 10.1016/1054-139X(91)90007-K.CrossRefPubMedGoogle Scholar
  36. Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Gotestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25(1), 67–92. doi: 10.1007/s10899-008-9088-6.Google Scholar
  37. Jones, B. T., Corbin, W., & Fromme, K. (2001). A review of expectancy theory and alcohol consumption. Addiction, 96(1), 57–72. doi: 10.1046/j.1360-0443.2001.961575.x.CrossRefPubMedGoogle Scholar
  38. Kim, B. S. K., Atkinson, D. R., & Yang, P. H. (1999). The Asian Values Scale: Development, factor analysis, validation, and reliability. Journal of Counseling Psychology, 46(3), 342–352. doi: 10.1037//0022-0167.46.3.342.CrossRefGoogle Scholar
  39. Kim, B. S. K., & Omizo, M. M. (2010). Behavioral enculturation and acculturation, psychological functioning, and help-seeking attitudes among Asian American adolescents. Asian American Journal of Psychology, 1(3), 175–185. doi: 10.1037/a0021125.CrossRefPubMedCentralPubMedGoogle Scholar
  40. Kivlahan, D. R., Marlatt, G. A., Fromme, K., Coppel, D. B., & Williams, E. (1990). Secondary prevention with college drinkers: Evaluation of an alcohol skills training program. Journal of Consulting and Clinical Psychology, 58(6), 805–810. doi: 10.1037/0022-006X.58.6.805.CrossRefPubMedGoogle Scholar
  41. LaBrie, R. A., Shaffer, H. J., LaPlante, D. A., & Wechsler, H. (2003). Correlates of college student gambling in the United States. Journal of American College Health, 52(2), 53–62. doi: 10.1080/07448480309595725.CrossRefPubMedGoogle Scholar
  42. Ladouceur, R., Ferland, F., & Vitaro, F. (2004). Prevention of problem gambling: Modifying misconceptions and increasing knowledge among Canadian youth. Journal of Primary Prevention, 25(3), 329–335. doi: 10.1023/B:JOPP.0000048024.37066.32.CrossRefGoogle Scholar
  43. Lai, D. W. L. (2006). Gambling and the older Chinese in Canada. Journal of Gambling Studies, 22(1), 121–141. doi: 10.1007/s10899-005-9006-0.CrossRefPubMedGoogle Scholar
  44. Larimer, M. E., & Neighbors, C. (2003). Normative misperception and the impact of descriptive and injunctive norms on college student gambling. Psychology of Addictive Behaviors, 17(3), 235–243. doi: 10.1037/0893-164X.17.3.235.CrossRefPubMedGoogle Scholar
  45. Lee, H.-P., Chae, P. K., Lee, H.-S., & Kim, Y.-K. (2007). The five-factor gambling motivation model. Psychiatry Research, 150, 21–32. doi: 10.1016/j.psychres.2006.04.005.CrossRefPubMedGoogle Scholar
  46. Leong, F. T. L., Inman, A. G., Ebreo, A., Yang, L. H., Kinoshita, L., & Fu, M. (2006). Handbook of Asian American psychology. Thousand Oaks, CA: Sage Publications.Google Scholar
  47. Lesieur, H. R., Cross, J., Frank, M., Welch, M., White, C. M., Rubenstein, G., et al. (1991). Gambling and pathological gambling among university students. Addictive Behaviors, 16(6), 517–527. doi: 10.1016/0306-4603(91)90059-Q.CrossRefPubMedGoogle Scholar
  48. Liu, W. M., & Iwamoto, D. K. (2007). Conformity to masculine norms, Asian values, coping strategies, peer group influences and substance use among Asian American men. Psychology of Men & Masculinity, 8(1), 25–39. doi: 10.1037/1524-9220.8.1.25.CrossRefGoogle Scholar
  49. Loo, J. M. Y., Raylu, N., & Oei, T. P. S. (2008). Gambling among the Chinese: A comprehensive review. Clinical Psychology Review, 28(7), 1152–1166. doi: 10.1016/j.cpr.2008.04.001.CrossRefPubMedGoogle Scholar
  50. Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98(2), 224–253. doi: 10.1037/0033-295X.98.2.224.CrossRefGoogle Scholar
  51. Marlatt, G. A., & George, W. H. (1984). Relapse prevention: Introduction and overview of the model. British Journal of Addiction, 79(3), 261–273. doi: 10.1111/j.1360-0443.1984.tb00274.x.CrossRefPubMedGoogle Scholar
  52. Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11(3), 320–341. doi: 10.1207/s15328007sem1103_2.CrossRefGoogle Scholar
  53. Martin, R. J., Usdan, S., Nelson, S., Umstatt, M. R., LaPlante, D., Perko, M., et al. (2010). Using the theory of planned behavior to predict gambling behavior. Psychology of Addictive Behaviors, 24(1), 89–97. doi: 10.1037/a0018452.CrossRefPubMedGoogle Scholar
  54. Miller, M. J. (2010). Testing a bilinear domain-specific model of acculturation and enculturation across generation status. Journal of Counseling Psychology, 57(2), 179–186. doi: 10.1037/a0019089.CrossRefPubMedGoogle Scholar
  55. Moore, S. M., & Ohtsuka, K. (1999). The prediction of gambling behavior and problem gambling from attitudes and perceived norms. Social Behavior and Personality, 27, 455–466. doi: 10.2224/sbp.1999.27.5.455.CrossRefGoogle Scholar
  56. Muthén, L. K., & Muthén, B. O. (1998–2011). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
  57. 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. doi: 10.1037//0022-0167.35.4.426.CrossRefPubMedCentralPubMedGoogle Scholar
  58. Newcomb, M. D., Chou, C., Bentler, P. M., & Huba, G. J. (1988). Cognitive motivations for drug use among adolescents: Longitudinal tests of gender differences and predictors of change in drug use. Journal of Counseling Psychology, 35(4), 426–438. doi: 10.1037//0022-0167.35.4.426.CrossRefGoogle Scholar
  59. Nisbett, R. E. (2003). The geography of thought: How Asians and Westerners think differently… and why. New York: The Free Press.Google Scholar
  60. Oei, T. P. S., & Raylu, N. (2004). Familial influence on offspring gambling: A cognitive mechanism for transmission of gambling behavior in families. Psychological Medicine, 34(7), 1279–1288. doi: 10.1017/S0033291704003150.CrossRefPubMedGoogle Scholar
  61. Orford, J., Griffiths, M., Wardle, H., Sproston, K., & Erens, B. (2009). Negative public attitudes towards gambling: Findings from the 2007 British Gambling Prevalence Survey using a new attitude scale. International Gambling Studies, 9(1), 39–54. doi: 10.1080/14459790802652217.CrossRefGoogle Scholar
  62. Osilla, K. C., Wong, E. C., & Zane, N. (2012). Harm reduction for Asian American and Pacific Islander populations. In G. A. Marlatt, M. E. Larimer, & K. Witkiewitz (Eds.), Harm reduction: Pragmatic strategies for managing high-risk behaviors (2nd ed., pp. 318–338). New York: The Guiliford Press.Google Scholar
  63. Petry, N. M., Armentano, C., Kuoch, T., Norinth, T., & Smith, L. (2003). Gambling participation and problems among South East Asian refugees to the United States. Psychiatric Services, 54(8), 1142–1148. doi: 10.1176/appi.ps.54.8.1142.CrossRefPubMedGoogle Scholar
  64. Petry, N. M., & Blanco, C. (2012). National gambling experiences in the United States: Will history repeat itself? Addiction. Advance online publication. doi: 10.1111/j.1360-0443.2012.03894.x.
  65. Poulin, C. (2002). An assessment of the validity and reliability of the SOGS-RA. Journal of Gambling Studies, 18(1), 67–93. doi: 10.1023/A:1014584213557.CrossRefPubMedGoogle Scholar
  66. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. doi: 10.3758/BRM.40.3.879.CrossRefPubMedGoogle Scholar
  67. Raylu, N., & Oei, T. P. S. (2004a). Gambling Related Cognitions Scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction, 99(6), 757–769. doi: 10.1111/j.1360-0443.2004.00753.x.CrossRefPubMedGoogle Scholar
  68. Raylu, N., & Oei, T. P. (2004b). Role of culture in gambling and problem gambling. Clinical Psychology Review, 23(8), 1087–1114. doi: 10.1016/j.cpr.2003.09.005.CrossRefPubMedGoogle Scholar
  69. Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, and the glb: Comments on Sijtsma. Psychometrika, 74(1), 145–154. doi: 10.1007/s11336-008-9102-z.CrossRefGoogle Scholar
  70. Roberti, J. W. (2004). A review of behavioral and biological correlates of sensation seeking. Journal of Research in Personality, 38(3), 256–279. doi: 10.1016/S0092-6566(03)00067-9.CrossRefGoogle Scholar
  71. Satorra, A., & Bentler, P. (2010). Ensuring positiveness of the scaled difference Chi square test statistic. Psychometrika, 75(2), 243–248. doi: 10.1007/s11336-009-9135-y.CrossRefPubMedCentralPubMedGoogle Scholar
  72. Scott-Sheldon, L. A., Terry, D. L., Carey, K. B., Garey, L., & Carey, M. P. (2012). Efficacy of expectancy challenge interventions to reduce college student drinking: A meta-analytic review. Psychology of Addictive Behaviors, 26(3), 393–405. doi: 10.1037/a0027565.CrossRefPubMedCentralPubMedGoogle Scholar
  73. Scull, S., & Woolcock, G. (2005). Problem gambling in non-English speaking background communities in Queensland, Australia: A qualitative exploration. International Gambling Studies, 5(1), 29–44. doi: 10.1080/14459790500097939.CrossRefGoogle Scholar
  74. Shaffer, H. J., Hall, M. N., & Vander Bilt, J. (1999). Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis. American Journal of Public Health, 89, 1369–1376. http://www.ajph.org/.
  75. Shaffer, H., LaPlante, D., LaBrie, R., Kidman, R., Donato, A., & Stanton, M. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367–374. doi: 10.1080/10673220490905705.CrossRefPubMedGoogle Scholar
  76. Shead, N. W., Callan, M. J., & Hodgins, D. C. (2008). Probability discounting among gamblers: Differences across problem gambling severity and affect-regulation expectancies. Personality and Individual Differences, 45(6), 536–541. doi: 10.1016/j.paid.2008.06.008.CrossRefGoogle Scholar
  77. Stewart, S. H., & Zack, M. (2008). Development and psychometric evaluation of a three-dimensional Gambling Motives Questionnaire. Addiction, 103, 1110–1117. doi: 10.1111/j.1360-0443.2008.02235.x.CrossRefPubMedGoogle Scholar
  78. Stinchfield, R., Hanson, W. E., & Olson, D. H. (2006). Problem and pathological gambling among college students. New Directions for Student Services, 2006(113), 63–72. doi: 10.1002/ss.196.CrossRefGoogle Scholar
  79. Stoltenberg, S. F., Batien, B. D., & Birgenheir, D. G. (2008). Does gender moderate associations among impulsivity and health-risk behaviors? Addictive Behaviors, 33(2), 252–265. doi: 10.1016/j.addbeh.2007.09.004.CrossRefPubMedCentralPubMedGoogle Scholar
  80. Substance Abuse and Mental Health Services Administration. (2011). Results from the 2010 national survey on drug use and health: National findings. NSDUH Series H-41, HHS Publication No. (SMA) 11-4658. Rockville, MD. http://www.samhsa.gov/data/NSDUH/2k10NSDUH/2k10Results.htm.
  81. Takeuchi, D. T., Zane, N., Hong, S., Chae, D. H., Gong, F., Gee, G. C., et al. (2007). Immigration-related factors and mental disorders among Asian Americans. American Journal of Public Health, 97, 84–90. doi: 10.2105/AJPH.2006.088401.CrossRefPubMedCentralPubMedGoogle Scholar
  82. 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 gamblers. Psychology of Addictive Behaviors, 25(3), 511–520. doi: 10.1037/a0024013.CrossRefPubMedGoogle Scholar
  83. Tang, C. S., & Wu, A. M. S. (2012). Gambling-related cognitive biases and pathological gambling among youths, young adults, and mature adults in Chinese societies. Journal of Gambling Studies, 28(1), 139–154. doi: 10.1007/s10899-011-9249-x.CrossRefPubMedGoogle Scholar
  84. Tao, V. Y. K., Wu, A. M. S., Cheung, S. F., & Tong, K. K. (2011). Developing of an indigenous inventory GMAB (Gambling Motives, Attitudes and Behaviors) for Chinese gamblers: An exploratory study. Journal of Gambling Studies, 27(1), 99–113. doi: 10.1007/s10899-010-9191-3.CrossRefPubMedGoogle Scholar
  85. Tiffany, S. T. (1990). A cognitive model of drug urges and drug-use behavior: Role of automatic and nonautomatic processes. Psychological Review, 97(2), 147–168. doi: 10.1037/0033-295X.97.2.147.CrossRefPubMedGoogle Scholar
  86. United States Census Bureau. (2012, March). The Asian population: 2010. Retrieved from http://www.census.gov/prod/cen2010/briefs/c2010br-11.pdf.
  87. Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., & Hoffman, J. H. (2011). Gambling and problem gambling across the lifespan. Journal of Gambling Studies, 27(1), 49–61. doi: 10.1007/s10899-010-9195-z.CrossRefPubMedGoogle Scholar
  88. Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M.-C. O., & Parker, J. C. (2004). Risk factors for pathological gambling. Addictive Behaviors, 29(2), 323–335. doi: 10.1016/j.addbeh.2003.08.007.CrossRefPubMedGoogle Scholar
  89. West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 56–75). Thousand Oaks, CA: Sage Publications, Inc.Google Scholar
  90. Wickwire, E. M., Whelan, J. P., & Myers, A. W. (2010). Outcome expectancies and gambling behavior among urban adolescents. Psychology of Addictive Behaviors, 24(1), 75–88. doi: 10.1037/a0017505.CrossRefPubMedGoogle Scholar
  91. Wickwire, E. M., Whelan, J. P., West, R., Meyers, A., McCausland, C., & Leullen, J. (2007). Perceived availability, risks, and benefits of gambling among college students. Journal of Gambling Studies, 23, 397–408. doi: 10.1007/s10899-007-9057-5.CrossRefGoogle Scholar
  92. Widaman, K. F., & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  93. Winters, K. C., Stinchfield, R. D., & Fulkerson, D. (1993). Toward the development of an adolescent gambling problem severity scale. Journal of Gambling Studies, 9(1), 63–84. doi: 10.1007/BF01019925.CrossRefGoogle Scholar
  94. Wong, S. S., & Tsang, S. K. (2012). Development and validation of the Chinese adolescent gambling expectancy scale. International Gambling Studies. Advance online publication. doi: 10.1080/14459795.2012.672582.
  95. Wong, G., Zane, N., Saw, A., & Chan, A. K. K. (2012). Examining gender differences for gambling engagement and gambling problems among emerging adults. Journal of Gambling Studies. Advance online publication. doi: 10.1007/s10899-012-9305-1.
  96. 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(4), 709–724. doi: 10.1007/s10899-010-9234-9.CrossRefPubMedGoogle Scholar
  97. 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(2), 315–324. doi: 10.1007/s10899-011-9250-4.Google Scholar
  98. Yuan, K.-H., Bentler, P. M., & Chan, W. (2004). Structural equation modeling with heavy tailed distributions. Psychometrika, 69(3), 421–436. doi: 10.1007/BF02295644.CrossRefGoogle Scholar
  99. Yung, Y.-F., Thissen, D., & McLeod, L. D. (1999). On the relationship between the higher-order factor model and the hierarchical factor model. Psychometrika, 64(2), 113–128. doi: 10.1007/BF02294531.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Alan Ka Ki Chan
    • 1
  • Nolan Zane
    • 1
  • Gloria M. Wong
    • 1
  • Anna V. Song
    • 2
  1. 1.Department of Psychology, Asian American Center on Disparities ResearchUniversity of California, DavisDavisUSA
  2. 2.Department of Psychological SciencesUniversity of California, MercedMercedUSA

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