Journal of Gambling Studies

, Volume 31, Issue 4, pp 1377–1385 | Cite as

An Exploratory Study of the Relationship Between Digit Ratio, Illusion of Control, and Risk-Taking Behavior Among Chinese College Students

Original Paper


Previous studies on the relationship between digit ratio and risk-taking mainly focused on western subjects. Moreover, no researcher has examined the concurrent effect of digit ratio and illusion of control on gambling behavior. This exploratory study investigates the relationship between digit ratio, illusion of control and risk-taking behavior of Chinese subjects. Sixty-six students from a Chinese university were invited to answer a questionnaire and play a purposefully-designed betting game. The results show that the subjects’ risk-taking level, measured in terms of average betting amount, is negatively correlated to their digit ratio but not to their illusion of control score. Moreover, there is no significant association between the subjects’ digit ratio and illusion of control score. These preliminary findings will have useful implications to gaming regulators and businesses.


Digit ratio Illusion of control Risk-taking Gambling 


  1. Anderson, T. (2012). Comparing risk-taking and digit ratio (2D:4D) in offenders and non-offenders. The Plymouth Student Scientist, 5(2), 105–120.Google Scholar
  2. Apicella, C. L., Dreber, A., Campbell, B., Gray, P. B., Hoffman, M., & Little, A. C. (2008). Testosterone and financial risk preferences. Evolution and Human Behavior, 29, 384–390.CrossRefGoogle Scholar
  3. Arnold, A. P., & Breedlove, S. M. (1985). Organizational and activational effects of sex steroids on brain and behavior: A reanalysis. Hormones and Behavior, 19(4), 469–498.CrossRefPubMedGoogle Scholar
  4. Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming (multivariate applications series). New Jersey: Lawrence Erlbaum Associates.Google Scholar
  5. Collins, P. (2003). Gambling and the public interest. Westport: Praeger Publishers.Google Scholar
  6. DeBruine, L. M. (2004). AutoMetric software for measurement of 2D:4D ratios. Accessed 24 Feb 2012.
  7. DICJ (2014). Gaming Statistics. Accessed 02 Apr 2014.
  8. Dickerson, M. G. (1984). Compulsive gamblers. London: Longman.Google Scholar
  9. Dixson, A. F. (1998). Primate sexuality: Comparative studies of the prosimians, monkeys, apes, and human beings. New York: Oxford University Press.Google Scholar
  10. Dreber, A., & Hoffman, M. (2007). Risk preferences are partly predetermined. Mimeo: Stockholm School of Economics.Google Scholar
  11. DSEC (2014). Accessed 02Apr 2014.
  12. Fink, B., Neave, N., Laughton, K., & Manning, J. T. (2006). Second to fourth digit ratio and sensation seeking. Personality and Individual Differences, 41(7), 1253–1262.CrossRefGoogle Scholar
  13. Frank, M. L., & Smith, C. (1989). Illusion of control and gambling in children. Journal of Gambling Behavior, 5(2), 127–136.CrossRefGoogle Scholar
  14. Garbarino, E., Slonim, R., & Sydnor, J. (2011). Digit ratios (2D:4D) as predictors of risky decision making for both sexes. Journal of Risk and Uncertainty, 42(1), 1–26.CrossRefGoogle Scholar
  15. Gilovich, T. (1983). Biased evaluation and persistence in gambling. Journal of Personality and Social Psychology, 44, 1110–1126.CrossRefPubMedGoogle Scholar
  16. Gilovich, T., & Douglas, C. (1986). Biased evaluations of randomly determined gambling outcomes. Journal of Experimental Social Psychology, 22, 228–241.CrossRefGoogle Scholar
  17. Goy, R., & McEwen, B. (1980). Sexual differentiation of the brain. Cambridge: MIT Press.Google Scholar
  18. Hönekopp, J. (2011). Relationships between digit ratio 2D:4D and self-reported aggression and risk taking in an online study. Personality and Individual Differences, 51(1), 77–80.CrossRefGoogle Scholar
  19. Hong, Y. Y., & Chiu, C. Y. (1988). Sex, locus of control, and illusion of control in Hong Kong as correlates of gambling involvement. The Journal of Social Psychology, 128(5), 667–673.CrossRefPubMedGoogle Scholar
  20. Kemper, C. J., & Schwerdtfeger, A. (2008). Comparing different methods of digit ratio (2D:4D) measurement. American Journal of Human Biology, 21(2), 188–191.CrossRefGoogle Scholar
  21. Lam, D. (2007). An observation study of Chinese baccarat players. UNLV Gaming Research & Review Journal, 11(2), 63–73.Google Scholar
  22. Lam, D., & Ozorio, B. (2013). The effect of prior outcomes on gender risk-taking differences. Journal of Risk Research, 16(7), 791–802.CrossRefGoogle Scholar
  23. Langer, E. J. (1975). The illusion of control. Journal of Personality and Social Psychology, 32, 311–328.CrossRefGoogle Scholar
  24. Langer, E. J., & Roth, J. (1975). Heads I win, tails it’s chance: The illusion of control as a function of the sequence of outcomes in a purely chance task. Journal of Personality and Social Psychology, 32, 951–955.CrossRefGoogle Scholar
  25. Levitz, L. S. (1971). The experimental induction of compulsive gambling behaviors. Dissertation Abstracts International, 32, 1216B–1217B.Google Scholar
  26. Loo, J. M., Raylu, N., & Oei, T. P. S. (2008). Gambling among the Chinese: A comprehensive review. Clinical Psychology Review, 28(7), 1152–1166.CrossRefPubMedGoogle Scholar
  27. Manning, J. T. (2002). Digit ratio: A pointer to fertility, behavior and health. New Jersey: Rutgers University Press.Google Scholar
  28. McIntyre, M. H., Ellison, P. T., Lieberman, D. E., Demerath, E., & Towne, B. (2005). The development of sex differences in digital formula from infancy to the Fels Longitudinal Study. Proceedings of the Royal Society B, 272(157), 1473–1479.PubMedCentralCrossRefPubMedGoogle Scholar
  29. Nelson, R. J. (2005). Introduction to behavioral endocrinology (3rd ed.). Sinauer, MA: Sunderland.Google Scholar
  30. Oei, T. P., Lin, J., & Raylu, N. (2008). The relationship between gambling cognitions, psychological states, and gambling a cross-cultural study of Chinese and Caucasians in Australia. Journal of Cross-Cultural Psychology, 39(2), 147–161.CrossRefGoogle Scholar
  31. Pearson, M., & Schipper, B. C. (2012). The visible hand: Finger ratio (2D:4D) and competitive bidding. Experimental Economics, 15(3), 510–529.CrossRefGoogle Scholar
  32. Presson, P. K., & Benassi, V. A. (1996). Illusion of control: A meta-analytic review. Journal of Social Behavior and Personality, 11(3), 493–510.Google Scholar
  33. Raylu, N., & Oei, T. P. (2004). The gambling related cognitions scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction, 99, 757–769.CrossRefPubMedGoogle Scholar
  34. Ronay, R., & von Hippel, W. (2010). Power, testosterone, and risk-taking. Journal of Behavioral Decision Making, 23(5), 473–482.CrossRefGoogle Scholar
  35. Sapienza, P., Zingales, L., & Maestripieri, D. (2009). Gender differences in financial risk aversion and career choices are affected by testosterone. Proceedings of the National Academy of Science of the United States of America, 106(36), 15268–15273.CrossRefGoogle Scholar
  36. Stenstrom, E., Saad, G., Nepomuceno, M. V., & Mendenhall, Z. (2011). Testosterone and domain-specific risk: Digit ratios (2D:4D and rel2) as predictors of recreational, financial, and social risk-taking behaviors. Personality and Individual Differences, 51(4), 412–416.CrossRefGoogle Scholar
  37. Strickland, L. H., Lewicki, R. J., & Katz, A. M. (1966). Temporal orientation as determinants of risk-taking. Journal of Experimental Social Psychology, 2, 143–151.CrossRefGoogle Scholar
  38. Taylor-Gooby, P., & Zinn, J. O. (2006). Current directions in risk research: New developments in psychology and sociology. Risk Analysis, 26(2), 397–411.CrossRefPubMedGoogle Scholar
  39. Wingfield, J. C., Hegner, R. E., Dufty, A. M., & Ball, G. F. (1990). The “challenge hypothesis”: Theoretical implications for patterns of testosterone secretion, mating systems, breeding strategies. American Naturalist, 136, 829–846.CrossRefGoogle Scholar
  40. Zethraeus, N., Kocoska-Maras, L., Ellingsen, T., von Schoultz, B., Linden Hirschberg, A., & Johannesson, M. (2009). A randomized trial of the effects of estrogen and testosterone on economic behavior. Proceedings of the National Academic of Science of the United States of America, 106(16), 6535–6538.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.University of MacauMacauChina

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