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
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
Van der Linden, Wim J.; Mellenbergh, Gideon J..
Optimal cutting scores using a linear loss function.
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