TEST BIAS: VALIDITY OF THE SCHOLASTIC APTITUDE TEST FOR NEGRO AND WHITE STUDENTS IN INTEGRATED COLLEGES

By T. Cleary. 1966

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50 Years of Test (Un)fairness: Lessons for Machine Learning (2018, background): “al distributions of test scores and ground truth scores for subgroups π1 and π2 are shown by the axes. first time, cast in terms of a formal model for predicting educational outcomes from test scores [10, 11]: A test is biasedfor members of a subgroup of the population if, in the prediction of a cri”
Fairness in Machine Learning: A Survey (2020, background): “[69, 70]), notions of group vs individual fairness (e.”
Algorithmic Fairness: Choices, Assumptions, and Definitions (2021, background): “…since the 1960s, psychometricians have studied the fairness of educational tests based on their ability to predict performance (at school or work) (Cleary 1966, Darlington 1971, Einhorn & Bass 1971, Thorndike 1971, Hunter & Schmidt 1976, Petersen & Novick 1976, Lewis 1978, Hutchinson & Mitchell…”