TitleOptimal testing with easy or difficult items in computerized adaptive testing
Publication TypeJournal Article
Year of Publication2006
AuthorsEggen, T, Verschoor, AJ
JournalApplied Psychological Measurement
Publication Languageeng
ISBN Number0146-6216 (Print)
Accession Number2006-10279-002
Keywordscomputer adaptive tests, individualized tests, Item Response Theory, item selection, Measurement

Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model results in each individual answering about 50% of the items correctly. Two item selection procedures giving easier (or more difficult) tests for students are presented and evaluated. Item selection on probability points of items yields good results only with the one-parameter logistic model and not with the two-parameter logistic model. An alternative selection procedure, based on maximum information at a shifted ability level, gives satisfactory results with both models. (PsycINFO Database Record (c) 2007 APA, all rights reserved)