This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Berger, M. P.F. Search for Related Content Social Bookmarking                         What's this?

D-Optimal Sequential Sampling Designs for Item Response Theory Models

University of Twente, The Netherlands

The selection of optimal designs in IRT models encounters at least two problems. The first problem is that Fisher’s information matrix is generally not independent of the values of the IRT parameters, and the second problem is that the design points are unknown parameters and have to be estimated together with the other parameters. In this study, these two problems are taken care of by a sequential design procedure. This procedure is a modification of a D-optimality procedure proposed by Wynn (1970). The results show that this algorithm leads to consistent estimates and that errors in selecting the abilities generally do not affect optimality very much.

Key Words: item response theory models • optimal design • sequential sampling

Journal of Educational and Behavioral Statistics, Vol. 19, No. 1, 43-56 (1994)
DOI: 10.3102/10769986019001043


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				R. Holman and M. P. F. Berger Optimal Calibration Designs for Tests of Polytomously Scored Items Described by Item Response Theory Models Journal of Educational and Behavioral Statistics, January 1, 2001; 26(4): 361 - 380. [Abstract] [PDF]