Elements of Adaptive Testing

  • Wim J. van der Linden
  • Cees A.W. Glas

Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Item Selection and Ability Estimation

    1. Front Matter
      Pages 1-1
    2. Wim J. van der Linden, Peter J. Pashley
      Pages 3-30
    3. Wim J. van der Linden
      Pages 31-55
    4. Wim J. van der Linden
      Pages 103-119
  3. Applications in Large-Scale Testing Programs

    1. Front Matter
      Pages 122-122
    2. Angela J. Verschoor, Gerard J. J. M. Straetmans
      Pages 137-149
    3. Gerald J. Melican, Krista Breithaupt, Yanwei Zhang
      Pages 167-189
  4. Item Pool Development and Maintenance

    1. Front Matter
      Pages 214-214
    2. Cynthia G. Parshall, J. Christine Harmes, Tim Davey, Peter J. Pashley
      Pages 215-230
    3. Bernard P. Veldkamp, Wim J. van der Linden
      Pages 231-245
    4. Krista Breithaupt, Adelaide A. Ariel, Donovan R. Hare
      Pages 247-266
  5. Item Calibration and Model Fit

    1. Front Matter
      Pages 268-268
    2. Cees A. W. Glas
      Pages 269-288
    3. Cees A. W. Glas, Wim J. van der Linden, Hanneke Geerlings
      Pages 289-314

About this book

Introduction

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).

Keywords

Computerized adaptive testing Educational assessment Educational measurement and psychometrics Item banking Item response theory best fit

Editors and affiliations

  • Wim J. van der Linden
    • 1
  • Cees A.W. Glas
    • 2
  1. 1.CTB/McGraw-Hill LLCMontereyU.S.A.
  2. 2.Fac. Behavioural SciencesTwente UniversityEnschedeNetherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-85461-8
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-85459-5
  • Online ISBN 978-0-387-85461-8
  • About this book