IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v49y2024i4p630-657.html
   My bibliography  Save this article

Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design

Author

Listed:
  • Jyun-Hong Chen

    (National Cheng Kung University)

  • Hsiu-Yi Chao

    (Soochow University)

Abstract

To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test constraints to reversely assembled shadow tests for item selection to prevent the attenuation paradox by integer programming. A simulation study was conducted to thoroughly investigate IPRD performance. The results indicate that the IPRD method can efficiently improve CAT performance in terms of the precision of trait estimation and satisfaction of all required test constraints, especially for conditions with stringent exposure control.

Suggested Citation

  • Jyun-Hong Chen & Hsiu-Yi Chao, 2024. "Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design," Journal of Educational and Behavioral Statistics, , vol. 49(4), pages 630-657, August.
    • Handle: RePEc:sae:jedbes:v:49:y:2024:i:4:p:630-657
    DOI: 10.3102/10769986231197666
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986231197666
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986231197666?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:49:y:2024:i:4:p:630-657. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.