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Overconfidence in personnel selection: When and why unstructured interview information can hurt hiring decisions

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  • Kausel, Edgar E.
  • Culbertson, Satoris S.
  • Madrid, Hector P.

Abstract

Overconfidence is an important bias related to the ability to recognize the limits of one’s knowledge. The present study examines overconfidence in predictions of job performance for participants presented with information about candidates based solely on standardized tests versus those who also were presented with unstructured interview information. We conducted two studies with individuals responsible for hiring decisions. Results showed that individuals presented with interview information exhibited more overconfidence than individuals presented with test scores only. In a third study, consisting of a betting competition for undergraduate students, larger overconfidence was related to fewer payoffs. These combined results emphasize the importance of studying confidence and decision-related variables in selection decisions. Furthermore, while previous research has shown that the predictive validity of unstructured interviews is low, this study provides compelling evidence that they not only fail to help personnel selection decisions, but can actually hurt them.

Suggested Citation

  • Kausel, Edgar E. & Culbertson, Satoris S. & Madrid, Hector P., 2016. "Overconfidence in personnel selection: When and why unstructured interview information can hurt hiring decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 137(C), pages 27-44.
    • Handle: RePEc:eee:jobhdp:v:137:y:2016:i:c:p:27-44
    DOI: 10.1016/j.obhdp.2016.07.005
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    1. Ronis, David L. & Yates, J. Frank, 1987. "Components of probability judgment accuracy: Individual consistency and effects of subject matter and assessment method," Organizational Behavior and Human Decision Processes, Elsevier, vol. 40(2), pages 193-218, October.
    2. Esther Kaufmann & Ulf-Dietrich Reips & Werner W Wittmann, 2013. "A Critical Meta-Analysis of Lens Model Studies in Human Judgment and Decision-Making," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-16, December.
    3. Tsai, Claire I. & Klayman, Joshua & Hastie, Reid, 2008. "Effects of amount of information on judgment accuracy and confidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(2), pages 97-105, November.
    4. Klayman, Joshua & Soll, Jack B. & Gonzalez-Vallejo, Claudia & Barlas, Sema, 1999. "Overconfidence: It Depends on How, What, and Whom You Ask, , , , , , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(3), pages 216-247, September.
    5. Kuncel, Nathan R., 2008. "Some New (and Old) Suggestions for Improving Personnel Selection," Industrial and Organizational Psychology, Cambridge University Press, vol. 1(3), pages 343-346, September.
    6. Highhouse, Scott, 2008. "Stubborn Reliance on Intuition and Subjectivity in Employee Selection," Industrial and Organizational Psychology, Cambridge University Press, vol. 1(3), pages 333-342, September.
    7. Whitecotton, Stacey M., 1996. "The Effects of Experience and a Decision Aid on the Slope, Scatter, and Bias of Earnings Forecasts," Organizational Behavior and Human Decision Processes, Elsevier, vol. 66(1), pages 111-121, April.
    8. Brenner, Lyle & Griffin, Dale & Koehler, Derek J., 2005. "Modeling patterns of probability calibration with random support theory: Diagnosing case-based judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 97(1), pages 64-81, May.
    9. Robin Hogarth, 2005. "The challenge of representative design in psychology and economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(2), pages 253-263.
    10. repec:cup:judgdm:v:8:y:2013:i:5:p:512-520 is not listed on IDEAS
    11. Sah, Sunita & Moore, Don A. & MacCoun, Robert J., 2013. "Cheap talk and credibility: The consequences of confidence and accuracy on advisor credibility and persuasiveness," Organizational Behavior and Human Decision Processes, Elsevier, vol. 121(2), pages 246-255.
    12. Hough, Leaetta M. & Oswald, Frederick L., 2008. "Personality Testing and Industrial–Organizational Psychology: Reflections, Progress, and Prospects," Industrial and Organizational Psychology, Cambridge University Press, vol. 1(3), pages 272-290, September.
    13. Yates, J. Frank & Lee, Ju-Whei & Shinotsuka, Hiromi & Patalano, Andrea L. & Sieck, Winston R., 1998. "Cross-Cultural Variations in Probability Judgment Accuracy: Beyond General Knowledge Overconfidence?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 74(2), pages 89-117, May.
    14. Seale, Darryl A. & Rapoport, Amnon, 1997. "Sequential Decision Making with Relative Ranks: An Experimental Investigation of the "Secretary Problem">," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 221-236, March.
    15. Siegel-Jacobs, Karen & Yates, J. Frank, 1996. "Effects of Procedural and Outcome Accountability on Judgment Quality," Organizational Behavior and Human Decision Processes, Elsevier, vol. 65(1), pages 1-17, January.
    16. Ulrike Malmendier & Geoffrey Tate, 2015. "Behavioral CEOs: The Role of Managerial Overconfidence," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 37-60, Fall.
    17. Kuncel, Nathan R. & Highhouse, Scott, 2011. "Complex Predictions and Assessor Mystique," Industrial and Organizational Psychology, Cambridge University Press, vol. 4(3), pages 302-306, September.
    18. anonymous, 2010. "Interview with Gary Gorton," The Region, Federal Reserve Bank of Minneapolis, vol. 24(Dec), pages 26-39.
    19. Sharp, Glen L. & Cutler, Brian L. & Penrod, Steven D., 1988. "Performance feedback improves the resolution of confidence judgments," Organizational Behavior and Human Decision Processes, Elsevier, vol. 42(3), pages 271-283, December.
    20. Yates, J. Frank & Price, Paul C. & Lee, Ju-Whei & Ramirez, James, 1996. "Good probabilistic forecasters: The 'consumer's' perspective," International Journal of Forecasting, Elsevier, vol. 12(1), pages 41-56, March.
    21. Hall, Crystal C. & Ariss, Lynn & Todorov, Alexander, 2007. "The illusion of knowledge: When more information reduces accuracy and increases confidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 277-290, July.
    22. Klimoski, Richard & Jones, Robert G., 2008. "Intuiting the Selection Context," Industrial and Organizational Psychology, Cambridge University Press, vol. 1(3), pages 352-354, September.
    23. Onkal, Dilek & Yates, J. Frank & Simga-Mugan, Can & Oztin, Sule, 2003. "Professional vs. amateur judgment accuracy: The case of foreign exchange rates," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(2), pages 169-185, July.
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