The use of test scores for classification decisions with threshold utility

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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. 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.
Original languageUndefined
Pages (from-to)62-75
JournalJournal of educational statistics
Volume12
Issue number1
DOIs
Publication statusPublished - 1987

Keywords

  • IR-98578

Cite this

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title = "The use of test scores for classification decisions with threshold utility",
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. 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.",
keywords = "IR-98578",
author = "{van der Linden}, {Willem J.}",
year = "1987",
doi = "10.3102/10769986012001062",
language = "Undefined",
volume = "12",
pages = "62--75",
journal = "Journal of educational and behavioral statistics",
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publisher = "SAGE Publications",
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}

The use of test scores for classification decisions with threshold utility. / van der Linden, Willem J.

In: Journal of educational statistics, Vol. 12, No. 1, 1987, p. 62-75.

Research output: Contribution to journalArticleAcademic

TY - JOUR

T1 - The use of test scores for classification decisions with threshold utility

AU - van der Linden, Willem J.

PY - 1987

Y1 - 1987

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AB - 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. 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.

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