Optimal cutting scores using a linear loss function

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Optimal cutting scores using a linear loss function

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Van der Linden, Wim J.

Mellenbergh, Gideon J.

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1977

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Abstract

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.

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Applied Psychological Measurement, Volume 01, 1977

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Van der Linden, Wim J & Mellenbergh, Gideon J. (1977). Optimal cutting scores using a linear loss function. Applied Psychological Measurement, 1, 593-599. doi:10.1177/014662167700100414

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Van der Linden, Wim J.; Mellenbergh, Gideon J.. (1977). Optimal cutting scores using a linear loss function. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/98622.

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