Elements of Adaptive Testing

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 takers abili...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: van der Linden, Wim J. (Editor), Glas, Cees A.W. (Editor)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2010.
Series:Statistics for Social and Behavioral Sciences
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-85461-8
Table of Contents:
  • Item selection and ability estimation in adaptive testing
  • Constrained adaptive testing with shadow tests
  • Principles of multidimensional adaptive testing
  • Multidimensional adaptive testing with Kullback-Liebler information item selection
  • Sequencing an adaptive test battery
  • Adaptive tests for measuring anxiety and depression
  • MATHCAT: A flexible testing system in mathematics education for adults
  • Implementing the Graduate Management admission test computerized adaptive test
  • Designing and implementing a multistage adaptive test: The uniform CPA exam
  • A Japanese adaptive test of English as a foreign language: Developmental and operational aspects
  • Innovative items for computerized testing
  • Designing item pools for adaptive testing
  • Assembling an inventory of multistage adaptive testing systems
  • Item parameter estimation and item fit analysis
  • Estimation of the parameters in an item-cloning model for adaptive testing
  • Detecting person misfit in adaptive testing using statistical process control techniques
  • The assessment of differential item functioning in computer adaptive tests
  • Multi-stage testing: Issues, designs, and research
  • Three-category adaptive classification testing
  • Testlet-based adaptive mastery testing
  • Adaptive mastering testing using a multidimensional IRT model.