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Disparate treatment and adverse impact in applied attrition modeling

  • Christopher M. Castille (a1) and Ann-Marie R. Castille (a1)

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Corresponding author

*Corresponding author. Email: christopher.castille@nicholls.edu

References

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Guenole, N. (2018, July). Better the devil you know? Opportunities and risks with 21st century assessment. Presented at the CognitionX, Goldsmiths, University of London.
Guenole, N., Ferrar, J., & Feinzig, S. (2017). The power of people: Learn how successful organizations use workforce analytics to improve business performance. Indianapolis, IN: Cisco Press.
Mayer, D. M., Ong, M., Sonenshein, S., & Ashford, S. J. (2019). The money or the morals? When moral language is more effective for selling social issues. Journal of Applied Psychology, 104(8), 10581076.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. New York, NY: Crown Publishing Group.
Schneider, B. (1987). The people make the place. Personnel Psychology, 40(3), 437453. doi: 10.1111/j.1744-6570.1987.tb00609.x.
Schwager v. Sun Oil Co. of Pa., 591 F.2d 58 (10th Cir. 1979).
Speer, A. B., Dutta, S., Chen, M., & Trussell, G. (2019). Here to stay or go? Connecting turnover research to applied attrition modeling. Industrial and Organizational Psychology: Perspectives on Science and Practice, 12(3), 272–296.
Su, R., Rounds, J., & Armstrong, P. I. (2009). Men and things, women and people: A meta-analysis of sex differences in interests. Psychological Bulletin, 135(6), 859884. doi: 10.1037/a0017364
Van Iddekinge, C. H., Roth, P. L., Putka, D. J., & Lanivich, S. E. (2011). Are you interested? A meta-analysis of relations between vocational interests and employee performance and turnover. Journal of Applied Psychology, 96(6), 11671194. doi: 10.1037/a0024343

Disparate treatment and adverse impact in applied attrition modeling

  • Christopher M. Castille (a1) and Ann-Marie R. Castille (a1)

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