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Intelligence 2.0: Reestablishing a Research Program on g in I–O Psychology

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  • Scherbaum, Charles A.
  • Goldstein, Harold W.
  • Yusko, Kenneth P.
  • Ryan, Rachel
  • Hanges, Paul J.

Abstract

Intelligence (i.e., g, general mental ability) is an individual difference that is arguably more important than ever for success in the constantly changing, ever more complex world of business (Boal, 2004; Gatewood, Field, & Barrick, 2011). Although the field of industrial–organizational (I–O) psychology initially made substantial contributions to the study of intelligence and its use in applied settings (e.g., Hunter, 1980; Schmidt & Hunter, 1981), we have done relatively little in recent times about studying the nature of the intelligence construct and its measurement. Instead, we have focused predominately on using intelligence to predict performance outcomes and examine racial subgroup differences on intelligence test scores. Although the field of I–O psychology continues to approach intelligence at a surface level, other fields (e.g., clinical psychology, developmental and educational research, and neuropsychology) have continued to study this construct with greater depth and have consequently made more substantial progress in understanding this critical and complex construct. The purpose of this article is to note this lack of progress in I–O psychology and to challenge our field to mount new research initiatives on this critical construct.

Suggested Citation

  • Scherbaum, Charles A. & Goldstein, Harold W. & Yusko, Kenneth P. & Ryan, Rachel & Hanges, Paul J., 2012. "Intelligence 2.0: Reestablishing a Research Program on g in I–O Psychology," Industrial and Organizational Psychology, Cambridge University Press, vol. 5(2), pages 128-148, June.
  • Handle: RePEc:cup:inorps:v:5:y:2012:i:02:p:128-148_00
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    Cited by:

    1. Strohhecker, Jürgen & Leyer, Michael, 2019. "How stock-flow failure and general cognitive ability impact performance in operational dynamic control tasks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1044-1055.
    2. Birney, Damian P. & Beckmann, Jens F. & Beckmann, Nadin & Double, Kit S. & Whittingham, Karen, 2018. "Moderators of learning and performance trajectories in microworld simulations: Too soon to give up on intellect!?," Intelligence, Elsevier, vol. 68(C), pages 128-140.

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