IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v22y2022i2p243-268.html
   My bibliography  Save this article

uirt: A command for unidimensional IRT modeling

Author

Listed:
  • Bartosz Kondratek

    (Educational Research Institute)

Abstract

In this article, I introduce the uirt command, which allows one to estimate parameters of a variety of unidimensional item response theory models (two-parameter logistic model, three-parameter logistic model, graded response model, partial credit model, and generalized partial credit model). uirt has ex- tended item-fit analysis capabilities, features multigroup modeling, allows testing for differential item functioning, and provides tools for generating plausible val- ues with a latent regression conditioning model. I provide examples to illustrate cases where uirt can be especially useful in conducting analyses within the item response theory approach.

Suggested Citation

  • Bartosz Kondratek, 2022. "uirt: A command for unidimensional IRT modeling," Stata Journal, StataCorp LP, vol. 22(2), pages 243-268, June.
    • Handle: RePEc:tsj:stataj:v:22:y:2022:i:2:p:243-268
    DOI: 10.1177/1536867X221106368
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-2/st0670/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0670
    File Function: link to article purchase
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1536867X221106368?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:tsj:stataj:v:22:y:2022:i:2:p:243-268. 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    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.