Cross-validating item parameter estimation in adaptive testing

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

From a statistical point of view, adaptive testing belongs to the class of problems of selecting a best subset of random variables. As in any other instance of this problem, adaptive testing is likely to capitalize on estimation error. An empirical example of the phenomenon is discussed, and a strategy for cross-validating results from adaptive testing is proposed. Results from a simulation study on the strategy are presented.
Original languageUndefined
Title of host publicationEssays on item response theory
EditorsAnne Boomsma, Marijtje A.J. van Duijn, Tom A.B. Snijders
PublisherSpringer
Pages205-219
ISBN (Print)9780387951478
Publication statusPublished - 2001

Publication series

NameLecture notes in statistics
PublisherSpringer
Number157
Volume0930-0325

Keywords

  • IR-104258

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