The Performance-Variability Paradox: Risk Taking

  • Stephen J. Guastello
Part of the Evolutionary Economics and Social Complexity Science book series (EESCS, volume 13)


This study presented in this chapter extends the analyses and results from the previous chapter to the risk-taking aspect of the performance time series. Although the rescaled range statistic, H, is defined as having a range between 0 and 1, 24 % of the 172 time series were negative. Results confirmed that negative H was possible and not a result of psychometric error. Field dependence and H for the risk-taking time series were the best predictors of risk taking overall, of the variables studied. Persistence in risk taking, as evidenced by the autocorrelations was associated with spelling ability, anagrams test scores, and field dependence.


Risk Taking Hurst Exponent Stepwise Multiple Regression Analysis Previous Chapter Risky Choice 
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  1. Bianciardi, G. (2015). Differential diagnosis: Shape and function, fractal tools in the pathology lab. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 437–464.Google Scholar
  2. Corrêa, U. C., Benda, R. N., de Oliveira, D., Ugrinowitsch, H., Freudenheim, A. M., & Tani, G. (2015). Different faces of variability in the adaptive process of motor skill learning. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 465–488.Google Scholar
  3. Guastello, S. J. (2005). Statistical distributions and self-organizing phenomena: What conclusions should be drawn? Nonlinear Dynamics, Psychology, and Life Sciences, 9, 463–478.Google Scholar
  4. Guastello, S. J. (2015). The complexity of the psychological self and the principle of optimum variability. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 511–528.Google Scholar
  5. Guastello, S. J., & Gregson, R. A. M. (Eds.). (2011). Nonlinear dynamical systems analysis for the behavioral sciences using real data. Boca Raton: C R C Press/Taylor & Francis.Google Scholar
  6. Guastello, S. J. (1995). Chaas, catastrophe, and human affairs. Mahwah: Lawrence Erlbaum Associates.Google Scholar
  7. Guastello, S. J., Shissler, J., Driscoll, J., & Hyde, T. (1998). Are some cognitive styles more creatively productive than others? Journal of Creative Behavior, 32, 77–91.CrossRefGoogle Scholar
  8. Harrison, S. J., & Stergiou, N. (2015). Complex adaptive behavior in dexterous action. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 345–394.Google Scholar
  9. Kiefer, A. W., & Myer, G. D. (2015). Training the anti-fragile athlete: A preliminary analysis of neuromuscular training effects on muscle activation dynamics. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 489–511.Google Scholar
  10. McClelland, D. C. (1961). The achieving society. Princeton: Van Nostrand.CrossRefGoogle Scholar
  11. Morrison, S., & Newell, K. M. (2015). Dimension and complexity in human movement and posture. Nonlinear Dynamics, Psychology, and Life Sciences, 19.Google Scholar
  12. Navarro, J., & Rueff-Lopes, R. (2015). Healthy variability in organizational behavior: Empirical evidence and new steps for future research. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 529–552.Google Scholar
  13. Schuldberg, D. (2015). What is optimum variability? Nonlinear Dynamics, Psychology, and Life Sciences, 19, 553–568.Google Scholar
  14. Sprott, J. C., & Rowlands, G. (2003). The chaos data analyzer: The professional version. New York: American Institute of Physics.Google Scholar
  15. Sternberg, R. J., & Lubart, T. I. (1995). Defying the crowd: Cultivating creativity in a culture of conformity. New York: Free Press.Google Scholar
  16. Vargas, B., Cuesta-Frau, D., Ruiz-Esteban, R., Cirugeda, E., & Varela, M. (2015). What can biosignal entropy tell us about health and disease? Applications in some clinical fields. Nonlinear Dynamics, Psychology, and Life Sciences, 19, 419–436.Google Scholar

Copyright information

© Springer Japan 2016

Authors and Affiliations

  1. 1.Marquette UniversityMilwaukeeUSA

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