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Sequential Sampling Designs for the Two-Parameter Item Response Theory Model

Published online by Cambridge University Press:  01 January 2025

Martijn P. F. Berger
Martijn P. F. Berger*
Affiliation:
University of Twente, The Netherlands
*
Requests for reprints should be sent to Martijn P. F. Berger, University of Twente, Department of Education, PO Box 217, 7500 AE Enschede, THE NETHERLANDS.
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Abstract

In optimal design research, designs are optimized with respect to some statistical criterion under a certain model for the data. The ideas from optimal design research have spread into various fields of research, and recently have been adopted in test theory and applied to item response theory (IRT) models. In this paper a generalized variance criterion is used for sequential sampling in the two-parameter IRT model. Some general principles are offered to enable a researcher to select the best sampling design for the efficient estimation of item parameters.

Keywords

sequential sampling designefficiencyitem response theory modelstwo-parameter logistic modeloptimality criteria

Information

Type
Original Paper
Information
Psychometrika , Volume 57 , Issue 4 , December 1992 , pp. 521 - 538
Copyright
Copyright © 1992 The Psychometric Society

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