Not Seeing Clearly With Cleary: What Test Bias Analyses Do and Do Not Tell Us

Adam W. Meade and Scott Tonidandel

Industrial and Organizational Psychology, 2010, vol. 3, issue 2, 192-205

Abstract: In recent decades, the Cleary (1968) approach for testing for differences in regression lines among demographic groups has been codified as a central approach to evaluate a test for bias. However, this approach is fraught with numerous shortcomings, a preponderance of implicit assumptions, and outcomes that are not sufficient to conclude that there is a problem with a test. We believe these shortcomings are poorly understood by many industrial–organizational (I–O) psychologists, that this method for evaluating test bias is overrelied on by our profession, and that it is interpreted improperly by those wishing to evaluate tests for bias in applied settings. Moreover, eliminating differential prediction may be impossible in some cases, undesirable in others, and places an undue burden on organizational researchers.

Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:inorps:v:3:y:2010:i:02:p:192-205_00

Access Statistics for this article

More articles in Industrial and Organizational Psychology from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().