This paper demonstrates that correlation between bias components of test scores and unbiased observed scores is an effective predictor of changes in reliability and validity resulting from elimination of bias. Plausible assumptions about the value of this correlation and the sizes of related variance components yield the conclusion that reduction in reliability and validity is a possible outcome. This reduction could result in marginally valid or reliable tests being judged unsatisfactory in this regard after elimination of bias. Thus bias can have an effect beyond the unfairness of resulting scores, namely, perpetuation of the use of tests of poor quality.
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