Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data.
Description:
It is not uncommon to use unidimensional item response theory (IRT) models to estimate ability in multidimensional data. Therefore it is important to understand the implications of summarizing multiple dimensions of ability into a single parameter estimate, especially if effects are confounded when applied to computerized adaptive testing (CAT). Previous studies have investigated the effects of different IRT models and ability estimators by manipulating the relationships between item and person…
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Date:
August 2009
Creator:
Kalinowski, Kevin E.
Partner:
UNT Libraries