The Use of Test Scores for Classification Decisions with Threshold Utility

Wim J. van der Linden

Journal of Educational and Behavioral Statistics, 1987, vol. 12, issue 1, 62-75

Abstract: The classification problem consists of assigning subjects to one of several available treatments on the basis of their test scores, where the success of each treatment is measured by a different criterion. It is indicated how this problem can be formulated as an (empirical) Bayes decision problem. As an example, the case of classification with a threshold utility function is analyzed, and optimal assignment rules are derived. The results are illustrated empirically with data from a classification problem in which achievement test data are used to assign students to appropriate continuation schools.

Date: 1987
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:12:y:1987:i:1:p:62-75

DOI: 10.3102/10769986012001062

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