Abstract
Summary Three different methods are presented for deriving linear transformations of raw examination marks in order to construct ostensibly fair’ average or aggregate marks for students taking possibly different subsets of subjects from the curriculum. All methods are based on the same linear model, which in the case of a balanced dataset (that is, if all students have marks in all subjects) is closely related to a simple principal component representation.
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