June 7 – 8, 2007 Minneapolis, Minnesota, U.S.A.
Keynote
David J. Weiss, University of Minnesota. Computerized Adaptive Testing: Past, Present, and Future
Keynote Roundtables: CAT Items – From Pool Design to Item Administration
Mark D. Reckase, Michigan State University Designing Item Pools to Optimize the Functioning of a CAT
Charles Lewis, Fordham University Some Thoughts on Controlling Item Exposure in Adaptive Testing
Fumiko Samejima, University of Tennessee at Knoxville A Nonparametric Online Item Calibration
Cynthia G. Parshall, Measurement Consultant Designing Templates for Innovative Item Types
Paper Session: Item Exposure
Ya-Hui Su, National Academy for Educational Research & Wen-Chung Wang, National Chung Cheng University Simultaneous Online Control Over Item Exposure and Test Overlap in Computerized Adaptive Testing for Independent and Testlet-Based Items
Michael Edwards, The Ohio State University & David Thissen, The University of North Carolina at Chapel Hill Multi-Stage Computerized Adaptive Testing with Uniform Item Exposure
Thomas O’Neill &Weiwei Liu, National Council of State Boards of Nursing. Detecting Item Compromise Using Item Latency Residuals and Response Probabilities
Lixiong Gu, Educational Testing Service & Mark D. Reckase, Michigan State University Designing Optimal Item Pools for Computerized Adaptive Tests with Sympson-Hetter Exposure Control
Paper Session: CAT and Cognitive Structure
Jiawen Zhou & Mark J. Gierl, University of Alberta Computerized Attribute-Adaptive Testing: A New Computerized Adaptive Testing Approach Incorporating Cognitive Psychology G.
Gage Kingsbury & Ronald L. Houser, Northwest Evaluation Association ICAT: A Process for Item Selection in Adaptive Tests to Allow the Identification of Idiosyncratic Knowledge Patterns
Jean-Guy Blais,Université de Montréal & Michel Desmarais, École Polytechnique de Montréal Partial Order Knowledge Structure for CAT Applications
Ying Cheng &Hua-hua Chang, University of Illinois at Urbana-Champaign The Maximum Dual Information Method for Cognitive Diagnostic CAT
Paper Session: Item Calibration and Special Applications
Gyenam Kim Kang, Korea Nazarene University & David J. Weiss, University of Minnesota at Twin Cities Comparison of Computerized Adaptive Testing and Classical Methods for Measuring Individual Change
Rongchun Zhu, ACT, Inc, Jeffrey Douglas, University of Illinois at Urbana-Champaign, & Hua-Hua Chang, University of Illinois at Urbana-Champaign Implementation of Optimal Design for Item Calibration in CAT
Nathan A. Thompson & Shungwon Ro, Prometric Computerized Classification Testing with Composite Hypotheses
Keynote Roundtables: CAT Models and Monitoring
James Olsen, Alpine Testing Solutions & C. Victor Bunderson, Edumetrics Institute Validity and Operational Considerations in Selecting a CAT Measurement Model
Fanmin Guo,Graduate Management Admission Council® A Practitioner’s Perspective on Computerized Adaptive Testing
Lawrence Rudner, Graduate Management Admission Council® Implementing the Graduate Management Admission Test® Computerized Adaptive Test
Theo Eggen, CITO Choices in CAT Models in the Context of Educational Testing
Keynote : CAT Innovations
Richard M. Luecht, University of North Carolina at Greensboro Emerging Topics
Keynote: CAT Models
Wim J. van der Linden, University of Twente, The Netherlands The Shadow-Test Approach: A Universal Framework for Implementing Adaptive Testing
Paper Session: New CAT Models
David J. Weiss, University of Minnesota at Twin Cities & Robert D. Gibbons, University of Illinois at Chicago CAT with the Bifactor Model
Jason Immekus,University of Illinois at Chicago, Robert D. Gibbons, University of Illinois at Chicago, & A. John Rush, University of Texas Southwestern Medical Center at Dallas Patient Reported Outcomes Measurement and Computerized Adaptive Testing: An Application of a Post-Hoc Simulation of a Diagnostic Screening Instrument
Stephen Stark, University of South Florida & Oleksandr S. Chernyshenko, University of Canterbury, New Zealand Adaptive Testing with the Multi-Unidimensional Pairwise Preference Model (MUPP)
Kathleen Scalise, University of Oregon & Mark Wilson, UC Berkeley Bundle Models for Computerized Adaptive Testing in E-Learning Assessment
Paper Session: Applications and Issues
Tony D. Thompson & Walter D. Way, Pearson Educational Measurement Investigating CAT Designs to Achieve Comparability with a Paper Test
Richard C. Gershon, Center for Outcomes and Research, Northwestern University Individual Differences in CAT Jooyong Park, Sejong University & UC Berkeley A New Delivery System for CAT
Walter D. Way, Scott Davies, & Kelly Burling, Pearson Educational Measurement Adapting to Assessment Policy: CAT Applications for Statewide K-12 Assessments
IRT Estimation and Polytomous CAT
Po Chen, National Taiwan Normal University The Resolution of Regression Bias of the Bayesian Ability Estimation on Unidimensional and Multidimensional Computerized Adaptive Testing
Yanyan Sheng, Southern Illinois University at Carbondale, Nancy Flournoy, University of Missouri at Columbia, & Steven J. Osterlind, University of Missouri at Columbia Up-and-Down Procedures for Approximating Optimal Test Designs Using Person-Response Functions
Jean-Guy Blais, Université de Montréal, Gilles Raiche, Université du Québec á Montréal, & David Magis, Université de Liège Adaptive Estimators of Proficiency in Adaptive Testing
Michiel Hol, H. C. M. Vorst, & G. J. Mellenbergh, NOA/Free University Computerized Adaptive Testing for Polytomous Motivation Items: Administration Mode Effects and a Comparison with Short Forms
Poster Session
Bernard P. Veldkamp, Iris J. L. Egberink, & Rob R. Meijer, University of Twente, The Netherlands The Development of a Computer Adaptive Integrity Test Mick Sumbling, Pablo Sanz, M. Carme Viladrich, Eduardo Doval, & Laura Riera, Universitat Autonòma de Barcelona Development of a Multiple-Component CAT Measuring Foreign Language Proficiency (SIMTEST) Marié DeBeer, University of South Africa Institution Use of CAT in Dynamic Testing
Major CAT Programs
G. Gage Kingsbury, Northwest Evaluation Association. CAT in the K-12 Schools: 50 Million CATs and Counting
Richard C. Gershon, Jin Shei Lai, Seung Choi, Center for Outcomes and Research, Northwestern University, &, Quality Metric Inc. The Promise of PROMIS for Using CAT in Measuring Health Treatment Outcomes
James R. McBride & Joseph E. Betts, Renaissance Learning, Inc. Eleven Years of Assessing K-12 Achievement: Some Longitudinal Research Using STAR Reading, STAR Math, and STAR Early Literacy