According to the item characteristic curve approach to detecting item bias, a test is unbiased if
A) establishing separate job performance cutoff scores for different groups makes the probability of selecting potentially successful applicants in the various groups the same.
B) qualifying scores on the test are established in such a way that different groups of applicants are selected in proportion to the number in each group who are capable of attaining an acceptable level on the performance criterion.
C) regardless of their group membership, examinees of the same ability have equal probabilities of getting an item right.
D) regression slopes for predicting job performance from the scores are the same for different groups.

Question

Quizplus · Accepted Answer

The item characteristic curve approach to detecting item bias focuses on ensuring that examinees of the same ability, regardless of their group membership, have equal probabilities of answering an item correctly. This approach directly addresses the fairness of individual test items rather than broader scoring or selection strategies.

According to the Item Characteristic Curve Approach to Detecting Item