Work

Optimal Cutting Scores Using A Linear Loss Function

Year: 1977

Type: article

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 suit able." Using a linear loss function, a procedure is described for computing a cutting score that mini mizes the risk for the decision rule. The procedure is demonstrated with a criterion-referenced achieve ment test of elementary statistics administered to 167 students.

Source: Applied Psychological Measurement

DOI: 10.1177/014662167700100414

Authors: Wim J. van der Linden, Gideon J. Mellenbergh

Institution: University of Amsterdam

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2028093867

FWCI: 10.82

Cites: 7

Cited by: 63

Related to: 10