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Using Meta-Analysis to Increase Power in Differential Prediction Analyses

Published online by Cambridge University Press:  07 January 2015

Matthew J. Borneman
Matthew J. Borneman*
Affiliation:
Southern Illinois University
*
E-mail: [email protected], Address: Department of Psychology, Southern Illinois University, 1125 Lincoln Drive, Rm. 281 Life Science II, Carbondale, IL 62901
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 3 , Issue 2 , June 2010 , pp. 224 - 227
Copyright
Copyright © Society for Industrial and Organizational Psychology 2010 

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References

Becker, B. J., & Wu, M.-J. (2007). The synthesis of regression slopes in meta-analysis. Statistical Science, 22, 414–429.10.1214/07-STS243Google Scholar
Cleary, T. A. (1968). Test bias: Prediction of grades of Negro and White students in integrated colleges. Journal of Educational Measurement, 5, 115–124.10.1111/j.1745-3984.1968.tb00613.xGoogle Scholar
Meade, A. W., & Tonidandel, S. (2010). Not seeing clearly with Cleary: What test bias analyses do and do not tell us. Industrial and Organizational Psychology, 3, 192–205.10.1111/j.1754-9434.2010.01223.xGoogle Scholar