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A Method of Estimating Item Characteristic Functions using the Maximum Likelihood Estimate of Ability

Published online by Cambridge University Press:  01 January 2025

Fumiko Samejima*
Affiliation:
University of Tennessee
*
Requests for reprints should be sent to Fumiko Samejima, Department of Psychology, 304C Austin Peay Hall, University of Tennessee, Knoxville, Tennessee 37916.

Abstract

A method of estimating item characteristic functions is proposed, in which a set of test items, whose operating characteristics are known and which give a constant test information function for a substantially wide range of ability, are used. The method is based on the maximum likelihood estimates of ability for a group of several hundred examinees. Throughout the present study the Monte Carlo method is used.

Information

Type
Original Paper
Copyright
Copyright © 1977 The Psychometric Society

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