DSpace DSpace

University of Minnesota Digital Conservancy >
University of Minnesota - Twin Cities >
Applied Psychological Measurement >
Volume 01, 1977 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/98622

Title: Optimal cutting scores using a linear loss function
Authors: Van der Linden, Wim J.
Mellenbergh, Gideon J.
Issue Date: 1977
Citation: 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
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.
URI: http://purl.umn.edu/98622
Appears in Collections:Volume 01, 1977

Files in This Item:

File Description SizeFormat
v01n4p593.pdf352.05 kBPDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.