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 language||English (US)|
|Number of pages||15|
|Journal||British Journal of Mathematical and Statistical Psychology|
|State||Published - May 1 2009|
ASJC Scopus subject areas
- Statistics and Probability
- Arts and Humanities (miscellaneous)