Estimating the Imputed Social Cost of Errors of Measurement

1 March 1985

journal article
Published by Cambridge University Press (CUP) in Psychometrika

Vol. 50 (1) , 57-68
https://doi.org/10.1007/bf02294148

Abstract

If a loss function is available specifying the social cost of an error of measurement in the score on a unidimensional test, an asymptotic method, based on item response theory, is developed for optimal test design for a specified target population of examinees. Since in the real world such loss functions are not available, it is more useful to reverse this process; thus a method is developed for finding the loss function for which a given test is an optimally designed test for the target population. An illustrative application is presented for one operational test.

Keywords

ITEM RESPONSE THEORY
DECISION THEORY
TEST DESIGN
LOSS FUNCTION
INFORMATION FUNCTION
ITEM SELECTION

This publication has 1 reference indexed in Scilit:

Two simple Classes of Mastery Scores based on the Beta-Binomial Model
Psychometrika, 1977