IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v21y1996i4p365-389.html
   My bibliography  Save this article

An Alternative Method for Scoring Adaptive Tests

Author

Listed:
  • Martha L. Stocking

Abstract

Modern applications of computerized adaptive testing are typically grounded in item response theory (IRT; Lord, 1980 ). While the IRT foundations of adaptive testing provide a number of approaches to adaptive test scoring that may seem natural and efficient to psychometricians, these approaches may be more demanding for test takers, test score users, and interested regulatory institutions to comprehend. An alternative method, based on more familiar equated number-correct scores and identical to that used to score and equate many conventional tests, is explored and compared with one that relies more directly on IRT. It is concluded that scoring adaptive tests using the familiar number-correct score, accompanied by the necessary equating to adjust for the intentional differences in adaptive test difficulty, is a statistically viable, although slightly less efficient, method of adaptive test scoring. To enhance the prospects for enlightened public debate about adaptive testing, it may be preferable to use this more familiar approach. Public attention would then likely be focused on issues more central to adaptive testing, namely, the adaptive nature of the test.

Suggested Citation

  • Martha L. Stocking, 1996. "An Alternative Method for Scoring Adaptive Tests," Journal of Educational and Behavioral Statistics, , vol. 21(4), pages 365-389, December.
  • Handle: RePEc:sae:jedbes:v:21:y:1996:i:4:p:365-389
    DOI: 10.3102/10769986021004365
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986021004365
    Download Restriction: no

    File URL: https://libkey.io/10.3102/10769986021004365?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leah M. Feuerstahler, 2019. "Metric Transformations and the Filtered Monotonic Polynomial Item Response Model," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 105-123, March.

    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:21:y:1996:i:4:p:365-389. 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.