Cross-validating item parameter estimation in adaptive testing

Autor:	van der Linden, Willem J., Glas, Cornelis A.W., Boomsma, Anne, van Duijn, Marijtje A.J., Snijders, Tom A.B.
Přispěvatelé:	Faculty of Behavioural, Management and Social Sciences
Rok vydání:	2001
Předmět:	IR-104258
Zdroj:	Essays on item response theory, 205-219 STARTPAGE=205;ENDPAGE=219;TITLE=Essays on item response theory
Popis:	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.
Databáze:	OpenAIRE
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