Detection of known items in adaptive testing with a statistical quality control method

Wim J.J. Veerkamp, Cees A.W. Glas

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)

Abstract

Due to previous exposure of items in adaptive testing, items may become known to a substantial portion of examinees. A disclosed item is bound to show drift in the item parameter values. In this paper it is suggested to use a statistical quality control method for the detection of known items. The method is worked out in detail for the 1-PL and 3-PL models. Adaptive test data are used to re-estimate the item parameters, and these estimates are used in a test of parameter drift. The method is illustrated in a number of simulation studies, including a power study.
Original languageEnglish
Pages (from-to)373-391
Number of pages18
JournalJournal of educational and behavioral statistics
Volume23
Issue number4
DOIs
Publication statusPublished - 2000

Fingerprint Dive into the research topics of 'Detection of known items in adaptive testing with a statistical quality control method'. Together they form a unique fingerprint.

Cite this