Announcements

• New Article in the Journal of Computerized Adaptive Testing (JCAT)

  2025-08-22

  Stochastic Curtailment: A New Approach to Improve Efficiency of Variable-Length Computerized Adaptive Tests

  Ming Him Tai, Pennsylvania State University

  Joseph N. DeWeese and David J. Weiss, University of Minnesota

  Keywords: computerized adaptive tests, low-precision CATs, stochastic curtailment, termination rules, variable- length CAT

   

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• New Article in the Journal of Computerized Adaptive Testing (JCAT)

  2025-07-11

  JCAT  has published its Volume 12 Number 3 article

  Estimating the Joint Item-Score Density Using an Unrestricted Latent Class Model: Advancing Flexibility in Computerized Adaptive Testing

  Anastasios Psychogyiopoulos, Niels Smits,
  and L. Andries van der Ark

  University of Amsterdam

  The complete article is available at https://jcatpub.net/index.php/jcat using the Current option.

   

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• New Article in the Journal of Computerized Adaptive Testing (JCAT)

  2025-06-20

  The Journal of Computerized Adaptive Testing (JCAT) has published its latest article:

  Volume 12 Number 2

  A Score-Based Method for Detecting Item Compromise and Preknowledge in Computerized Adaptive Testing Kylie Gorney, Chansoon Lee, Jianshen Chen   You may download the full article from https://jcatpub.net/index.php/jcat/issue/view/44   To view the abstract, select the Full Text link below

   

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• Special Issue of the Journal of Computerized Adaptive Testing (JCAT) Volume 12 Number 1

  2025-03-05

  JCAT has Just published a Special Issue titled "Through-Year  Assessments: Advancements and Implications for Hybrid Interim-Summative Assessments." This issue addresses the appication of CAT to this important issue in K-12 education through four articles that explore key challenges and innovations in the design and implementation of CAT within through-course summative assessments and through-year assessments.

  The articles, which are available separately or as the complete issue, include

  A Literature Review of Through-Course Summative Assessment Models: The Case for an Adaptive Through-Year Assessment

  Design Considerations and Reporting Solutions for a Multiple Administrations Adaptive Testing System

  The Impact of Item Pool Size and Item Pool Distribution on Student Ability Estimates for a Hybrid Interim-Summative CAT

  The Impact of Item Bank Transition Rules on Student Ability Estimates and Achievement Level Classifications

  You can download the entire Special Issue or separate articles at https://jcatpub.net/index.php/jcat/issue/view/40
  

   

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• IACAT Conference

  2024-04-20

  Call for Proposals

  Read More Read more about IACAT Conference

• New Article in the Journal of Computerized Adaptive Testing (JCAT)

  2024-03-07

  The Influence of Computerized Adaptive Testing on Psychometric Theory and Practice
  by Mark D. Reckase

  Partial abstract (Full text of the article is at https://jcatpub.net/index.php/jcat/issue/view/34 )

  The major premise of this article is that part of the stimulus for the evolution of psychometric theory since the 1950s was the introduction of the concept of computerized adaptive testing (CAT) or its earlier non-CAT variations. The conceptual underpinnings of CAT that had the most influence on psychometric theory was the shift of emphasis from the test (or test score) as the focus of analysis to the test item (or item score). The change in focus allowed a change in the way that test results are conceived of as measurements. It also resolved the conflict among a number of ideas that were present in the early work on psychometric theory. Some of the conflicting ideas are summarized below to show how work on the development of CAT resolved some of those conflicts.

   

   

   

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• New Article in the Journal of Computerized Adaptive Testing (JCAT)

  2023-07-19

  How Do Trait Change Patterns Affect the Performance of Adaptive Measurement of Change?
  Ming Him Tai, Allison W. Cooperman, Joseph N. DeWeese, and David J. Weiss

  Partial Abstract

  Adaptive measurement of change (AMC) is a psychometric procedure to detect intra-individual change in trait levels across multiple testing occasions. However, in studying how AMC performs as a function of change, most previous studies did not specify change patterns systematically. Inspired by Cronbach and Gleser (1953), a quantitative framework was proposed that systematically decomposes a change pattern into three components: magnitude, scatter, and shape. Shape was further decomposed into direction and order. Using monte-carlo simulations, a series of analyses of variance were performed to investi-gate how each of these components affected the false positive rates (FPRs) and true positive rates (TPRs) for detecting true change, and a change recovery index (CRI) ...

  You can view the complete abstract and download the article at https://jcatpub.net/index.php/jcat/issue/view/33

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• New Article in the Journal of Computerized Adaptive Testing (JCAT)

  2023-02-16

  The Journal of Computerized Adaptive Testing has published a new article. We invite you to review the article title and abstract below and then visit our web site to download the complete article:

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• New JCAT Articles

  2022-11-15

  The Journal of Computerized Adaptive Testing has published two new articles.

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• Two new Journal of Computerized Adaptive Testing articles

  2022-11-15

  Read More Read more about Two new Journal of Computerized Adaptive Testing articles