Capitalization on item calibration error in adaptive testing

Research output: Contribution to journalArticleAcademicpeer-review

30 Citations (Scopus)

Abstract

In adaptive testing, item selection is sequentially optimized during the test. Because the optimization takes place over a pool of items calibrated with estimation error, capitalization on chance is likely to occur.Howserious the consequences of this phenomenon are depends not only on the distribution of the estimation errors in the pool or the conditional ratio of the test length to the pool size given ability, but may also depend on the structure of the item selection criterion used. A simulation study demonstrated a dramatic impact of capitalization on estimation errors on ability estimation. Four different strategies to minimize the likelihood of capitalization on error in computerized adaptive testing are discussed.
Original languageEnglish
Pages (from-to)35-53
Number of pages18
JournalApplied measurement in education
Volume13
Issue number1
DOIs
Publication statusPublished - 2000

Keywords

  • METIS-135575
  • IR-58654

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