Abstract
Simultaneously with increased access to higher education of members of minority groups who historically have been denied such access has come an increased concern with the impact of achievement testing on the decisions made by colleges that use test results. In particular, much attention is being given to the issue of bias in achievement testing and its possible effects on those who are tested. In general, attention has focused on test bias from one of two perspectives: bias in a test when a criterion is available and bias that may exist in a test when no criterion exists or is relevant. The first perspective has focused on test bias in selection when one or more criteria are available (Thorndike, 1971; Darlington, 1971; Cole, 1973). Although many definitions of selection test bias, or conversely test fairness, have been posited, one definition considers a test not to be biased if it predicts success equally as well for the members of a particular subgroup as it does for the group as a whole. If a particular test is predictive of success as the educational process now exists, however, then the issue of bias cannot necessarily be dismissed. Bias may exist in the criterion measures used.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.