TY - JOUR T1 - The maximum priority index method for severely constrained item selection in computerized adaptive testing JF - British Journal of Mathematical and Statistical Psychology Y1 - 2009 A1 - Cheng, Y A1 - Chang, Hua-Hua KW - Aptitude Tests/*statistics & numerical data KW - Diagnosis, Computer-Assisted/*statistics & numerical data KW - Educational Measurement/*statistics & numerical data KW - Humans KW - Mathematical Computing KW - Models, Statistical KW - Personality Tests/*statistics & numerical data KW - Psychometrics/*statistics & numerical data KW - Reproducibility of Results KW - Software AB - This paper introduces a new heuristic approach, the maximum priority index (MPI) method, for severely constrained item selection in computerized adaptive testing. Our simulation study shows that it is able to accommodate various non-statistical constraints simultaneously, such as content balancing, exposure control, answer key balancing, and so on. Compared with the weighted deviation modelling method, it leads to fewer constraint violations and better exposure control while maintaining the same level of measurement precision. VL - 62 SN - 0007-1102 (Print)0007-1102 (Linking) N1 - Cheng, YingChang, Hua-HuaResearch Support, Non-U.S. Gov'tEnglandThe British journal of mathematical and statistical psychologyBr J Math Stat Psychol. 2009 May;62(Pt 2):369-83. Epub 2008 Jun 2. ER -