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Final Thoughts on Measurement Bias and Differential Prediction

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  • Meade, Adam W.
  • Tonidandel, Scott

Abstract

In the focal article, we suggested that more thought be given to the concepts of test bias, measurement bias, and differential prediction and the implicit framework of fairness underlying the Cleary model. In this response, we clarify the nature and scope of our recommendations and address some of the more critical comments of our work.

Suggested Citation

  • Meade, Adam W. & Tonidandel, Scott, 2010. "Final Thoughts on Measurement Bias and Differential Prediction," Industrial and Organizational Psychology, Cambridge University Press, vol. 3(2), pages 232-237, June.
    • Handle: RePEc:cup:inorps:v:3:y:2010:i:02:p:232-237_00
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    Cited by:

    1. Rüdiger Mutz & Lutz Bornmann & Hans-Dieter Daniel, 2015. "Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austr," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2321-2339, November.

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