Detecting Bias in Selection for Higher Education: Three Different Methods.

This study examined selection bias in Israeli university admissions with respect to test language and gender, using three approaches for the detection of such bias: Cleary’s model of differential prediction, boundary conditions for differential prediction and difference between d’s (the Constant Ratio Model). The university admissions process in Israel, like those in many countries, is based on a combination of school-related achievement and a general scholastic aptitude test. The selection process was found to be biased in favour of Arabic speakers and not biased with respect to gender. The three approaches for detecting selection bias were similar in the pattern of the results they produced, but differed, as expected, in the magnitude of the bias they detected. The discussion focuses on the results both with respect to the specific groups studied (first research question) and with respect to the three approaches for detecting selection bias (second research question).