A general approach to algoritmic design of fixed-form tests, adaptive tests, and testlets

Martijn P.F. Berger

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)
29 Downloads (Pure)

Abstract

The selection of items from a calibrated item bank for fixed-form tests is an optimal test design problem; this problem has been handled in the literature by mathematical programming models. A similar problem, however, arises when items are selected for an adaptive test or for testlets. This paper focuses on the similarities of optimal design of fixed-form tests, adaptive tests, and testlets within the framework of the general theory of optimal designs. A sequential design procedure is proposed that uses these similarities. This procedure not only enables optimal design of fixed-form tests, adaptive tests, and testlets, but is also very flexible. The procedure is easy to apply, and consistent estimates for the trait level distribution are obtained. Index terms: adaptive tests, consistency, efficiency, optimal test design, sequential procedure, test design, testlets.
Original languageEnglish
Pages (from-to)141-153
JournalApplied psychological measurement
Volume18
Issue number2
DOIs
Publication statusPublished - 1994

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