TitleThe maximum priority index method for severely constrained item selection in computerized adaptive testing
Publication TypeJournal Article
Year of Publication2009
AuthorsCheng, Y, Chang, H-H
JournalBritish Journal of Mathematical and Statistical Psychology
Date PublishedMay
Publication Languageeng
ISBN Number0007-1102 (Print)0007-1102 (Linking)
Accession Number18534047
KeywordsAptitude Tests/*statistics & numerical data, Diagnosis, Computer-Assisted/*statistics & numerical data, Educational Measurement/*statistics & numerical data, Humans, Mathematical Computing, Models, Statistical, Personality Tests/*statistics & numerical data, Psychometrics/*statistics & numerical data, Reproducibility of Results, Software

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.