%0 Journal Article
%J Applied Psychological Measurement
%D 2003
%T Optimal stratification of item pools in α-stratified computerized adaptive testing
%A Chang, Hua-Hua
%A van der Linden, W. J.
%K Adaptive Testing
%K Computer Assisted Testing
%K Item Content (Test)
%K Item Response Theory
%K Mathematical Modeling
%K Test Construction computerized adaptive testing
%X A method based on 0-1 linear programming (LP) is presented to stratify an item pool optimally for use in α-stratified adaptive testing. Because the 0-1 LP model belongs to the subclass of models with a network flow structure, efficient solutions are possible. The method is applied to a previous item pool from the computerized adaptive testing (CAT) version of the Graduate Record Exams (GRE) Quantitative Test. The results indicate that the new method performs well in practical situations. It improves item exposure control, reduces the mean squared error in the θ estimates, and increases test reliability. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)
%B Applied Psychological Measurement
%V 27
%P 262-274
%G eng