Optimal cutting scores using a linear loss function

Willem J. van der Linden, Gideon J. Mellenbergh

Research output: Contribution to journalArticleAcademic

44 Citations (Scopus)
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The situation is considered in which a total score on a test is used for classifying examinees into two categories: "accepted (with scores above a cutting score on the test) and "not accepted" (with scores below the cutting score). A value on the latent variable is fixed in advance; examinees above this value are "suitable" and those below are "not suitable." Using a linear loss function, a procedure is described for computing a cutting score that minimizes the risk for the decision rule. The procedure is demonstrated with a criterion-referenced achievement test of elementary statistics administered to 167 students.
Original languageEnglish
Pages (from-to)593-599
JournalApplied psychological measurement
Issue number4
Publication statusPublished - 1977


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