ERIC Number: EJ727350
Record Type: Journal
Publication Date: 2004
Reference Count: N/A
Strategies for Controlling Item Exposure in Computerized Adaptive Testing with the Generalized Partial Credit Model
Davis, Laurie Laughlin
Applied Psychological Measurement, v28 n3 p165-185 2004
Choosing a strategy for controlling item exposure has become an integral part of test development for computerized adaptive testing (CAT). This study investigated the performance of six procedures for controlling item exposure in a series of simulated CATs under the generalized partial credit model. In addition to a no-exposure control baseline condition, the randomesque, modified-within-.10-logits, Sympson-Hetter, conditional Sympson-Hetter, [alpha]-stratified with multiple-stratification, and enhanced [alpha]-stratified with multiple-stratification procedures were implemented to control exposure rates. Two variations of the randomesque and modified-within-.10-logits procedures were examined, which varied the size of the item group from which the next item to be administered was randomly selected. The results indicate that although the conditional Sympson-Hetter provides somewhat lower maximum exposure rates, the randomesque and modified-within-.10-logits procedures with the six-item group variation have great utility for controlling overlap rates and increasing pool utilization and should be given further consideration.
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Achievement Tests, Computer Security, Item Response Theory, Models
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A