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A New Era of Large-Scale Data Sharing: A Test Publisher's Perspective

Published online by Cambridge University Press:  07 January 2015

John W. Jones  and
Kelly D. Dages
John W. Jones
Affiliation:
Vangent, A General Dynamics Company
Kelly D. Dages*
Affiliation:
Vangent, A General Dynamics Company
*
E-mail: kelly.dages@gdit.comAddress: Vangent, A General Dynamics Company, 1 North Dearborn Street, Suite 1150, Chicago, IL 60602
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 6 , Issue 3 , September 2013 , pp. 309 - 312
Copyright
Copyright © Society for Industrial and Organizational Psychology 2013

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References

Dages, K. D., Ones, D., Jones, J. W., Sackett, P., Barrett, G., & Brasher, E. (2013, April). Five perspectives on sharing data for large scale meta-analyses. Panel discussion at the 2013 Society for Industrial Organizational Psychology Annual Conference, Houston, TX.Google Scholar
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Ones, D. S., Viswesvaran, C., & Schmidt, F. L. (1993). Comprehensive meta-analysis of integrity test validities: Findings and implications for personnel selection and theories of job performance. Journal of Applied Psychology, 78(4), 679–703.CrossRefGoogle Scholar
Van Iddekinge, C. H., Roth, P. L., Raymark, P. H., & Odle-Dusseau, H. N. (2012). The criterion-related validity of integrity tests: An updated meta-analysis. Journal of Applied Psychology, 97(3), 499–530.Google Scholar