Test Information Targeting Strategies for Adaptive Multistage Testing Designs.

Abstract

Adaptive multistage testlet (MST) designs appear to be gaining popularity for many large-scale computer-based testing programs. These adaptive MST designs use a modularized configuration of preconstructed testlets and embedded score-routing schemes to prepackage different forms of an adaptive test. The conditional information targeting (CIT) strategy was presented as a way of achieving several goals in generating feasible testlet test information functions (TIFs) for MST designs to control explicitly the proportion of the population routed along various pathways in a panel and to make the targets as informative as possible. Through a simulation, the study illustrated the strategy for a simple 1-2 MST panel design. (Contains 1 table, 4 figures, and 11 references.) (SLD) Reproductions supplied by EDRS are the best that can be made from the ori-inal doe-wheat. 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY R. M. Luecht TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Vhis document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. Test Information Targeting Strategies for Adaptive Multistage Testing Designs Richard M. Luecht William Burgin University of North Carolina at Greensboro Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL, (NCME Session A2)