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A Comparison of Item Exposure Control Methods in Computerized Adaptive Testing
Author(s) -
Revuelta Javier,
Ponsoda Vicente
Publication year - 1998
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1998.tb00541.x
Subject(s) - computerized adaptive testing , statistics , selection (genetic algorithm) , item response theory , computer science , test (biology) , equating , mathematics , artificial intelligence , psychometrics , rasch model , paleontology , biology
Two new methods for item exposure control were proposed. In the Progressive method, as the test progresses, the influence of a random component on item selection is reduced and the importance of item information is increasingly more prominent. In the Restricted Maximum Information method, no item is allowed to be exposed in more than a predetermined proportion of tests. Both methods were compared with six other item‐selection methods (Maximum Information, One Parameter, McBride and Martin, Randomesque, Sympson and Hetter, and Random Item Selection) with regard to test precision and item exposure variables. Results showed that the Restricted method was useful to reduce maximum exposure rates and that the Progressive method reduced the number of unused items. Both did well regarding precision. Thus, a combined Progressive‐Restricted method may be useful to control item exposure without a serious decrease in test precision.