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Estimating Parameters in the Rasch Model: Removing the Effects of Random Guessing

Author(s):
Waller, Michael I
Publication Year:
1976
Report Number:
RB-76-08
Source:
ETS Research Bulletin
Document Type:
Report
Page Count:
20
Subject/Key Words:
Ability, Guessing Tests, Mathematical Models, Multiple Choice Tests, Response Style (Tests)

Abstract

A method of estimating the parameters of the Rasch Model removing the effect of random guessing is presented. The procedure is an application of the ARRG (Abilities Removing Random Guessing) model recently developed for two parameter latent trait models. Under the Rasch model ARRG provides for estimation of abilities, removing the effects of random guessing, without requiring the use of a computer. Monte Carlo simulations are employed to examine the accuracy of the resulting ability estimates. (Author/RC) (20pp.)

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