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Intelligence and Success

  • Tarmo StrenzeEmail author

Abstract

The chapter reviews the research on the relationship between intelligence and various forms of success. The chapter also discusses how this relationship is influenced by genes and society.

Keywords

IQ Career success Socioeconomic success Job performance Meta-analysis Society Historical changes The Bell Curve Heritability Genetic effects 

References

  1. Adkins, D. E., & Guo, G. (2008). Societal development and the shifting influence of the genome on status attainment. Research in Social Stratification and Mobility, 26, 235–255.CrossRefGoogle Scholar
  2. Arthur, W., Barret, G. V., & Alexander, R. A. (1991). Prediction of vehicular accident involvement: A meta-analysis. Human Performance, 4, 89–105.CrossRefGoogle Scholar
  3. Benyamin, B., Wilson, V., Whalley, L. J., Visscher, P. M., & Deary, I. J. (2005). Large, consistent estimates of the heritability of cognitive ability in two entire populations of 11-year-old twins from Scottish mental surveys of 1932 and 1947. Behavior Genetics, 35, 525–534.PubMedCrossRefGoogle Scholar
  4. Berry, C. M., Sackett, P. R., & Landers, R. N. (2007). Revisiting interview-cognitive ability relationships: Attending to specific range restriction mechanisms in meta-analysis. Personnel Psychology, 60, 837–874.CrossRefGoogle Scholar
  5. Botton, A. (2004). Status anxiety. Hamish Hamilton: Penguin.Google Scholar
  6. Bourhis, J., & Allen, M. (1992). Meta-analysis of the relationship between communication apprehension and cognitive performance. Communication Education, 41, 68–76.CrossRefGoogle Scholar
  7. Bowles, S., & Gintis, H. (2002). The inheritance of inequality. Journal of Economic Perspectives, 16, 3–30.CrossRefGoogle Scholar
  8. Bowles, S., Gintis, H., & Osborne, M. (2001). The determinants of earnings: A behavioral approach. Journal of Economic Literature, 39, 1137–1176.CrossRefGoogle Scholar
  9. Breen, R., & Goldthorpe, J. H. (1999). Class inequality and meritocracy: A critique of Saunders and an alternative analysis. British Journal of Sociology, 50, 1–27.PubMedCrossRefGoogle Scholar
  10. Calvin, C. M., Deary, I. J., Fenton, C., Roberts, B. A., Der, G., Leckenby, N., & Batty, G. D. (2010). Intelligence in youth and all-cause-mortality: Systematic review with meta-analysis. International Journal of Epidemiology, 1–19.Google Scholar
  11. Colquitt, J. A., LePine, J. A., & Noe, R. (2000). Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology, 85, 678–707.PubMedCrossRefGoogle Scholar
  12. Devlin, B., Daniels, M., & Roeder, K. (1997). The heritability of IQ. Nature, 388, 468–471.PubMedCrossRefGoogle Scholar
  13. Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well being: Three decades of progress. Psychological Bulletin, 125, 276–302.CrossRefGoogle Scholar
  14. DeNeve, K. M. & Cooper, H. (1998). The happy personality: A meta-analysis of 137 personality traits and subjective well-being. Psychological Bulletin, 124, 197–229.PubMedCrossRefGoogle Scholar
  15. Feingold, A. (1992). Good-looking people are not what we think. Psychological Bulletin, 111, 304–341.CrossRefGoogle Scholar
  16. Fischer, C. S., Hout, M., Jankowski, M. S., Lucas, S. R., Swidler, A., & Voss, K. (1996). Inequality by design. Cracking the Bell Curve myth. Princeton, NJ: Princeton University Press.Google Scholar
  17. Gendreau, P., Little, T., & Goggin, C. (1996). A meta-analysis of the predictors of adult offender recidivism: What works! Criminology, 34, 575–607.CrossRefGoogle Scholar
  18. Griffeth, R. W., Hom, P. W., & Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management, 26, 463–488.CrossRefGoogle Scholar
  19. Hauser, R. M., & Huang, M.-H. (1997). Verbal ability and socioeconomic success: A trend analysis. Social Science Research, 26, 331–376.CrossRefGoogle Scholar
  20. Herrnstein, R. J., & Murray, C. (1994). The bell curve. Intelligence and class structure in American life. New York: Free Press.Google Scholar
  21. Hunter, J. E., & Hunter, R. F. (1984). Validity and utility of alternative predictors of job performance. Psychological Bulletin, 96, 72–98.CrossRefGoogle Scholar
  22. Jensen, A. R. (1969). How much can we boost IQ and scholastic achievement? Harvard Educational Review, 39, 1–123.Google Scholar
  23. Judge, T. A., Colbert, A. E., & Ilies, R. (2004). Intelligence and leadership: A quantitative review and test of theoretical propositions. Journal of Applied Psychology, 89, 542–552.PubMedCrossRefGoogle Scholar
  24. Kanazawa, S. (2004). General intelligence as a domain-specific adaptation. Psychological Review, 111, 512–523.PubMedCrossRefGoogle Scholar
  25. Kim, K. H. (2005). Can only intelligent people be creative? Journal of Secondary Gifted Education, 16, 57–66.Google Scholar
  26. Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all? Journal of Personality and Social Psychology, 86, 148–161.PubMedCrossRefGoogle Scholar
  27. Lopez, C., Stahl, D., & Tchanturia, K. (2010). Estimated intelligence quotient in anorexia nervosa: A systematic review and meta-analysis of the literature. Annals of General Psychiatry, 9, 40.PubMedCentralPubMedCrossRefGoogle Scholar
  28. Lynn, R. (1996). Dysgenics. Genetic deterioration in modern populations. London: Praeger.Google Scholar
  29. Malouff, J. M., Rooke, S., & Schutte, N. S. (2008). The heritability of human behavior: Results of aggregating meta-analyses. Current Psychology, 27, 153–161.CrossRefGoogle Scholar
  30. Mann, R. D. (1959). A review of the relationships between personality and performance in small groups. Psychological Bulletin, 56, 241–270.CrossRefGoogle Scholar
  31. McClelland, D. C. (1973). Testing for competence rather than for intelligence. American Psychologist, 28, 1–14.PubMedCrossRefGoogle Scholar
  32. Nelson, J. R., Benner, G. J., & Gonzalez, J. (2003). Learner characteristics that influence the treatment effectiveness of early literacy interventions: A meta-analytic review. Learning Disabilities Research & Practice, 18, 255–267.CrossRefGoogle Scholar
  33. Ones, D. S., Viswesvaran, C., & Dilchert, S. (2005). Cognitive ability in personnel selection decisions. In A. Evers, N. Anderson, & O. Voskuijl (Eds.), The Blackwell handbook of personnel selection (pp. 143–173). Malden, MA: Blackwell.Google Scholar
  34. Plomin, R., & Bergeman, C. S. (1991). The nature of nurture: Genetic influence on environmental measures. Behavioral and Brain Sciences, 14, 373–427.CrossRefGoogle Scholar
  35. Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135, 322–338.PubMedCrossRefGoogle Scholar
  36. Psacharopoulos, G., & Patrinos, H. A. (2004). Returns to investment in education: A further update. Education Economics, 12, 111–134.CrossRefGoogle Scholar
  37. Rhodes, N., & Wood, W. (1992). Self-esteem and intelligence affect influenceability: The mediating role of message reception. Psychological Bulletin, 111, 156–171.CrossRefGoogle Scholar
  38. Roos, P. A., & Treiman, D. J. (1980). DOT scales for the 1970 census classification. In A. R. Miller, D. J. Treiman, P. S. Cain, & P. A. Roos (Eds.), Work, jobs, and occupations: A critical review of the “Dictionary of Occupational Titles” (pp. 336–389). Washington, D.C.: National Academy Press.Google Scholar
  39. Roth, P. L., Bobko, P., & Farland, L. A. (2005). A Meta-analysis of work sample test validity: Updating and integrating some classic literature. Personnel Psychology, 58, 1009–1037.CrossRefGoogle Scholar
  40. Rowe, D. C., Vesterdal, W. J., & Rodgers, J. L. (1999). Herrnstein's syllogism: Genetic and shared environmental influences on IQ, education, and income. Intelligence, 26, 405–423.CrossRefGoogle Scholar
  41. Saunders, P. (1997). Social mobility in Britain: An empirical evaluation of two competing explanations. Sociology, 31, 261–288.CrossRefGoogle Scholar
  42. Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical findings of 85 years of research findings. Psychological Bulletin, 124, 262–274.CrossRefGoogle Scholar
  43. Schmitt, N., Gooding, R. Z., Noe, R. A., & Kirsch, M. (1984). Meta-analyses of validity studies published between 1964 and 1982 and the investigation of study characteristics. Personnel Psychology, 37, 407–422.CrossRefGoogle Scholar
  44. Silventoinen, K., Kaprio, J., & Lahelma, E. (2000). Genetic and environmental contributions to the association between body height and educational attainment: A study of adult Finnish twins. Behavior Genetics, 30, 477–485.PubMedCrossRefGoogle Scholar
  45. Spungen, D. (1983). And I don't want to live this life. New York: Fawcett Crest.Google Scholar
  46. Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133, 65–94.PubMedCrossRefGoogle Scholar
  47. Strenze, T. (2007). Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence, 35, 401–426.CrossRefGoogle Scholar
  48. Strenze, T. (2013). Allocation of talent in society and its effect on economic development. Intelligence, 41, 193–202.CrossRefGoogle Scholar
  49. Tambs, K., Sundet, J. M., Magnus, P., & Berg, K. (1989). Genetic and environmental contributions to the covariance between occupational status, educational attainment, and IQ: A study of twins. Behavior Genetics, 19, 209–222.PubMedCrossRefGoogle Scholar
  50. Taubman, P. (1976). Earnings, education, genetics, and environment. Journal of Human Resources, 11, 447–461.PubMedCrossRefGoogle Scholar
  51. Weiss, V. (1995). The emergence of a cognitive elite. Comment on The Bell Curve. Mankind Quarterly, 35, 373–390.Google Scholar
  52. Woodberry, K. A., Giuliano, A. J., & Seidman, L. J. (2008). Premorbid IQ in schizophrenia: A meta-analytic review. The American Journal of Psychiatry, 165, 579–587.PubMedCrossRefGoogle Scholar
  53. Young, M. (1958). The rise of meritocracy 1870–2033. London: Penguin.Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Institute of Social StudiesUniversity of Tartu, EstoniaTartuEstonia

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