Statistics for Social and Behavioral Sciences

Elements of Adaptive Testing

Editors: van der Linden, Wim J., Glas, Cees A. W. (Eds.)

  • An advanced and comprehensive introduction to the foundation of CAT
  • The latest developments of theory and practice by leading experts
  • Examples of some of the leading operational systems
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About this book

The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs.

Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP).
Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC).

Reviews

From the reviews:

“Elements of Adaptive Testing is an excellent book on the current state-of-the-art in CAT … . a highly advanced text, which makes the book most suitable for researchers in the field of adaptive testing. … Elements of Adaptive Testing covers key features of adaptive testing and addresses many complex design and analysis issues involved, thereby making a crucial read for researchers in any field of CAT.” (Usama S. Ali and Peter W. van Rijn, Psychometrika, Vol. 78, 2013)

Table of contents (21 chapters)

  • Item Selection and Ability Estimation in Adaptive Testing

    Linden, Wim J. (et al.)

    Pages 3-30

  • Constrained Adaptive Testing with Shadow Tests

    Linden, Wim J.

    Pages 31-55

  • Principles of Multidimensional Adaptive Testing

    Segall, Daniel O.

    Pages 57-75

  • Multidimensional Adaptive Testing with Kullback–Leibler Information Item Selection

    Mulder, Joris (et al.)

    Pages 77-101

  • Sequencing an Adaptive Test Battery

    Linden, Wim J.

    Pages 103-119

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-85461-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-0-387-85459-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4614-2553-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Elements of Adaptive Testing
Editors
  • Wim J. van der Linden
  • Cees A. W. Glas
Series Title
Statistics for Social and Behavioral Sciences
Copyright
2010
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-0-387-85461-8
DOI
10.1007/978-0-387-85461-8
Hardcover ISBN
978-0-387-85459-5
Softcover ISBN
978-1-4614-2553-3
Series ISSN
2199-7357
Edition Number
1
Number of Pages
XIV, 438
Topics