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The Equivalence of Two Methods of Parameter Estimation for the Rasch Model

Published online by Cambridge University Press:  01 January 2025

Larry G. Blackwood  and
Edwin L. Bradley
Larry G. Blackwood*
Affiliation:
Department of Biostatistics and Biomathematics, University of Alabama at Birmingham
Edwin L. Bradley
Affiliation:
Department of Biostatistics and Biomathematics, University of Alabama at Birmingham
*
Requests for reprints should be sent to Larry Blackwood, EG&G Idaho, Inc., PO Box 1625, Idaho Falls, ID 83415.
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Abstract

Two methods of estimating parameters in the Rasch model are compared. It is shown that estimates for a certain loglinear model for the score × item × response table are equivalent to the unconditional maximum likelihood estimates for the Rasch model.

Keywords

Rasch modelcontingency tablelatent trait theoryitem response theory
Type
Original Paper
Information
Psychometrika , Volume 54 , Issue 4 , December 1989 , pp. 751 - 754
Copyright
Copyright © 1989 The Psychometric Society

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References

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