A Comparison of Item Selection Techniques for Testlets

This study examined the performance of the maximum Fisher’s information, the maximum posterior weighted information, and the minimum expected posterior variance methods for selecting items in a computerized adaptive testing system when the items were grouped in testlets. A simulation study compared...

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Bibliographic Details
Published in:Applied psychological measurement 2010-09, Vol.34 (6), p.424-437
Main Authors: Murphy, Daniel L., Dodd, Barbara G., Vaughn, Brandon K.
Format: Article
Language:English
Subjects:
Adaptive Testing
Comparative Analysis
Computer Assisted Testing
Item Analysis
Item Response Theory
Simulation
Test Construction
Test Items
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Summary:This study examined the performance of the maximum Fisher’s information, the maximum posterior weighted information, and the minimum expected posterior variance methods for selecting items in a computerized adaptive testing system when the items were grouped in testlets. A simulation study compared the efficiency of ability estimation among the item selection techniques under varying conditions of local-item dependency when the response model was either the three-parameter-logistic item response theory or the three-parameter-logistic testlet response theory. The item selection techniques performed similarly within any particular condition, the practical implications of which are discussed within the article.
ISSN:0146-6216
1552-3497
DOI:10.1177/0146621609349804