This volume presents a comprehensive collection of the latest research findings supporting the current and future implementations and applications of computerized multistage testing (MST).

As a sequel to the widely acclaimed "Computerized Multistage Testing: Theory and Applications" (2014) by Yan, von Davier, and Lewis, this volume delves into the experiences, considerations, challenges, and lessons learned over the past years. It also offers practical approaches and solutions to the issues encountered. The topics covered include: purposeful MST designs, practical approaches for optimal design, assembly strategies for accuracy and efficiency, Hybrid designs, MST with natural language processing, practical routing considerations and methodologies, item calibration and proficiency estimation methods, routing and classification accuracy, added value of process data, prediction and evaluation of MST performance, cognitive diagnostic MST, differential item functioning, robustness of statistical methods, simulations, test security, the new digital large-scale SAT, software for practical assessment and simulations, AI impact, and the future of adaptive multistage testing.

This volume is intended for students, faculty, researchers, practitioners, and education officers in the fields of educational measurement and evaluation, both in the United States and internationally.

About the Author

Duanli Yan is a Director of Computational Research at Educational Testing Services, Princeton, New Jersey USA. She is also an adjunct professor at Rutgers University and Fordham University, and has extensive experience in innovative psychometric research and development. She has published many books and received many awards including the 2016 AERA D Significant Contribution to Educational Measurement and Research Methodology Award, 2022 and 2023 NCME Bradley Hanson Award.

Alina A. von Davier is the Chief of Assessment at Duolingo, Pittsburgh, Pennsylvania USA. She leads the Duolingo English Test research and development area. She is a researcher in computational psychometrics, machine learning, and education. Von Davier is an innovator and an executive leader with over 20 years of experience in EdTech and in the assessment industry. In 2022, she joined the University of Oxford as an Honorary Research Fellow, and Carnegie Mellon University as a Senior Research Fellow.

David J. Weiss is a Professor of Psychology at University of Minnesota, Minnesota USA. He has been continuously active in CAT research since 1970 including hosting six international CAT conferences. He co-founded the International Association for Computerized Adaptive Testing, Assessment Systems Corporation, the Insurance Testing Corporation, and was the founding editor of Applied Psychological Measurement and the Journal of Computerized Adaptive Testing.

Book Information
ISBN 9780367207809
Author Duanli Yan
Format Hardback
Page Count 546
Imprint Routledge
Publisher Taylor & Francis Ltd