TY - JOUR
T1 - Optimal cutting scores using a linear loss function
AU - van der Linden, Willem J.
AU - Mellenbergh, Gideon J.
PY - 1977
Y1 - 1977
N2 - 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.
AB - 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.
U2 - 10.1177/014662167700100414
DO - 10.1177/014662167700100414
M3 - Article
VL - 1
SP - 593
EP - 599
JO - Applied psychological measurement
JF - Applied psychological measurement
SN - 0146-6216
IS - 4
ER -