JSM 2005 - Toronto

Abstract #303798

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 91
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: General Methodology
Abstract - #303798
Title: Item Calibration in Computerized Adaptive Testing Using Minimal Information Loss
Author(s): Steven Buyske*+
Companies: Rutgers University
Address: Statistics Dept Hill Center, Piscataway, NJ, 08854, United States
Keywords: CAT ; 3PL ; Optimal Design
Abstract:

Computerized Adaptive Testing (CAT) in education requires a large number of test items. These test items must be calibrated ahead of time, and so efficient experimental designs for such calibration are required. Designs are complicated by the fact that both the items' characteristics and the proficiencies of the test-takers participating in calibration are randomly distributed latent variables. Design efficiency implies an optimality criterion. We propose a criterion based on the ultimate use of the items, namely as indicators used to estimate test-takers' proficiencies, and compare its use to existing criteria.

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