Research for Practical Issues and Solutions in Computerized Multistage Testing

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Duanli Yan (Educational Testing Service, Princeton, New Jersey, USA) Alina von Davier

Research for Practical Issues and Solutions in Computerized Multistage Testing

Duanli Yan (Educational Testing Service, Princeton, New Jersey, USA), Alina von Davier, David Weiss

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English

Routledge
27 December 2024

Research methods: general; Psychological theory & schools of thought; Examinations & assessment; Higher & further education, tertiary education; Probability & statistics

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 Scholastic Aptitude Test, software for practical assessment and simulations, artificial intelligence impact, and the future of adaptive MST.

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

Edited by: Duanli Yan (Educational Testing Service Princeton New Jersey USA), Alina von Davier, David Weiss
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 950g
ISBN: 9780367207816
ISBN 10: 0367207818
Pages: 500
Publication Date: 27 December 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

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, and the 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 computerized adaptive testing (CAT) research since 1970, including hosting six international CAT conferences. He co-founded the International Association for Computerized Adaptive Testing, the Assessment Systems Corporation, and the Insurance Testing Corporation and was the founding editor of Applied Psychological Measurement and the Journal of Computerized Adaptive Testing.