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Direct linkJohnson, Matthew S.; Liu, Xiang; McCaffrey, Daniel F. – Journal of Educational Measurement, 2022
With the increasing use of automated scores in operational testing settings comes the need to understand the ways in which they can yield biased and unfair results. In this paper, we provide a brief survey of some of the ways in which the predictive methods used in automated scoring can lead to biased, and thus unfair automated scores. After…
Descriptors: Psychometrics, Measurement Techniques, Bias, Automation
