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a-Stratified Multistage Computerized Adaptive Testing with b Blocking

University of Texashua.chang{at}mail.utexas.edu.

Jiahe Qian

Educational Testing Service

Zhiliang Ying

Rutgers University

Chang & Ying’s (1999) computerized adaptive testing item-selection procedure stratifies the item bank according to a parameter values and requires b parameter values to be evenly distributed across all strata. Thus, a and b parameter values must be incorporated into how strata are formed. A refinement is proposed, based on Weiss’ (1973) stratification of items according to b values. Simulation studies using a retired item bank of a Graduate Record Examination test indicate that the new approach improved control of item exposure rates and reduced mean squared errors.

Applied Psychological Measurement, Vol. 25, No. 4, 333-341 (2001)
DOI: 10.1177/01466210122032181


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