BIAS IN SELECTION

By N. Cole. 1973

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Citations in the corpus

50 Years of Test (Un)fairness: Lessons for Machine Learning (2018, background): “This idea hints at the notion of equal opportunity for those with a given value of Y , an idea which soon was picked up by Darlington [19] and Cole [14].”
Fairness in Machine Learning: A Survey (2020, background): “…essential concepts such as protected/demographic variables (e.g., References [72, 73]), notions of group vs. individual fairness (e.g., References [257, 278]), impossibility conditions between fairness conditions [81], and metric-based fairness quantification (e.g., true positive rates [74]).”
Critical analysis of the statistical and ethical implications of various definitions of test bias. (1976, background): “This definition did not attract a great deal of attention until Cole (1973) offered a persuasive argument in its favor.”
The New Faces of Fairness (2001, background): “The famous Coleman report, Equality of Educational Opportunity (1966), documented the fact that the aptitude and achievement test scores of Black students tended to fall about one standard deviation below the scores of White students from”
Bias in Mental Testing (1980, unknown): “The Conditional Probability Model was proposed by Cole (1973), as follows: [F]or both minority and majority groups whose members can achieve a satisfactory criterion score [Y > Y*\ there should be the same probability of selection regardless of group membership-’ (p.”
ETS CONTRIBUTIONS TO THE QUANTITATIVE ASSESSMENT OF ITEM, TEST, AND SCORE FAIRNESS (2013, background): “…fair selection, including the regression model (Cleary, 1968), the constant ratio model (Thorndike, 1971), the conditional probability model (Cole, 1973), and the constant probability model (Linn, 1973) in the lead article in a special issue of the Journal of Educational Measurement…”