IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v32y2007i1p24-38.html
   My bibliography  Save this article

Testing for Local Dependence in Rasch’s Multiplicative Gamma Model for Speed Tests

Author

Listed:
  • Margo G. H. Jansen

Abstract

The author considers a latent trait model for the response time on a (set of) pure speed test(s), the multiplicative gamma model (MGM), which is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and scale parameters depending on subject ability and test difficulty parameters. Like any other parametric latent trait model, the MGM is based on strong assumptions. One of these assumptions is local independence. Two statistical tests for checking if the local independence assumption holds are compared, using generated and empirical data.

Suggested Citation

  • Margo G. H. Jansen, 2007. "Testing for Local Dependence in Rasch’s Multiplicative Gamma Model for Speed Tests," Journal of Educational and Behavioral Statistics, , vol. 32(1), pages 24-38, March.
  • Handle: RePEc:sae:jedbes:v:32:y:2007:i:1:p:24-38
    DOI: 10.3102/1076998606298032
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/1076998606298032
    Download Restriction: no

    File URL: https://libkey.io/10.3102/1076998606298032?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:32:y:2007:i:1:p:24-38. 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.