The maximum priority index method for severely constrained item selection in computerized adaptive testing

Ying Cheng, Hua Hua Chang

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)369-383
Number of pages15
JournalBritish Journal of Mathematical and Statistical Psychology
Volume62
Issue number2
DOIs
StatePublished - May 1 2009

ASJC Scopus subject areas

  • Statistics and Probability
  • Arts and Humanities (miscellaneous)
  • Psychology(all)

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