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Psychometrics Behind Computerized Adaptive Testing

Authors
  • Chang, Hua-Hua1
  • 1 University of Illinois at Urbana-Champaign, 430 Psychology Building, 630 E. Daniel Street, M/C 716, Champaign, IL, 61820, USA , Champaign (United States)
Type
Published Article
Journal
Psychometrika
Publisher
Springer US
Publication Date
Feb 06, 2014
Volume
80
Issue
1
Pages
1–20
Identifiers
DOI: 10.1007/s11336-014-9401-5
Source
Springer Nature
Keywords
License
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Abstract

The paper provides a survey of 18 years’ progress that my colleagues, students (both former and current) and I made in a prominent research area in Psychometrics—Computerized Adaptive Testing (CAT). We start with a historical review of the establishment of a large sample foundation for CAT. It is worth noting that the asymptotic results were derived under the framework of Martingale Theory, a very theoretical perspective of Probability Theory, which may seem unrelated to educational and psychological testing. In addition, we address a number of issues that emerged from large scale implementation and show that how theoretical works can be helpful to solve the problems. Finally, we propose that CAT technology can be very useful to support individualized instruction on a mass scale. We show that even paper and pencil based tests can be made adaptive to support classroom teaching.

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