New results are given concerning a form of test bias which, in the pas
t, with few exceptions (esp. Cole, 1973; Hartigan & Wigdor, 1989), see
ms to have been largely ignored. We call it ''hit-rate bias'' because
it is defined as the discrepancy between the hit-rates (= probability
that a qualified testee passes the test) in a low- and a high-scoring
group. Typically, it favors the high-scoring group. In contrast to Col
e (1973), our focus is on binary criteria, such as college graduation.
In the first, theoretical part, we present a (Hit-Rate Bounds) Theore
m which underscores that raising predictor standards is not equivalent
to raising criterion standards, as some believe. Instead, it typicall
y increases hit-rate bias. We then derive and tabulate a simple approx
imation for estimating hit-rates as a function of validity, base-rate,
and admission quota. In the empirical portion of the paper, we evalua
te the extent of hit-rate bias in practice by re-analyzing a number of
data sets involving the SAT, the ACT, and the GATE. Finally, we discu
ss how the addition of test scores to high school record affects hit-r
ate bias in predicting college graduation. We find it increases the bi
as.