July 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

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 Hsi 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 De Beer, 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, & Jakob Bjorner, 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 8:40—9:55 a.m.