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Marginal Maximum Likelihood Estimation for the One-Parameter Logistic Model

Published online by Cambridge University Press:  01 January 2025

David Thissen
David Thissen*
Affiliation:
University of Kansas
*
Requests for reprints should be sent to David Thissen, Department of Psychology, University of Kansas, Lawrence, Ks. 66045.
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Abstract

Two algorithms are described for marginal maximum likelihood estimation for the one-parameter logistic model. The more efficient of the two algorithms is extended to estimation for the linear logistic model. Numerical examples of both procedures are presented.

Keywords

Rasch modellinear logistic model

Information

Type
Original Paper
Information
Psychometrika , Volume 47 , Issue 2 , June 1982 , pp. 175 - 186
Copyright
Copyright © 1982 The Psychometric Society

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Footnotes

Portions of this research were presented at the meeting of the Psychometric Society in Chapel Hill, N.C. in May, 1981. Thanks to R. Darrell Bock, Gerhard Fischer, and Paul Holland for helpful comments in the course of this research.

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