IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s450402.html
 

SIMIRT: Stata module to process data generated by IRT models

Author

Listed:
  • Jean-Benoit Hardouin

    (University of Nantes, France)

Programming Language

Stata

Abstract

simirt allows creating a new dataset of responses to items simulated by an unidimensional IRT model. The model can be dichotomous (Rasch, OPLM, Birnbaum, 3PLM, 4PLM, 5PAM) or polytomous (Rating Scale Model-RSM). It is possible to simulate two sets of items linked, for each of them, to a specific latent trait (which can be correlated). The Items Characteristic Curves can be drawn.

Suggested Citation

  • Jean-Benoit Hardouin, 2005. "SIMIRT: Stata module to process data generated by IRT models," Statistical Software Components S450402, Boston College Department of Economics, revised 16 May 2013.
    • Handle: RePEc:boc:bocode:s450402
    Note: This module should be installed from within Stata by typing "ssc install simirt". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/simirt.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/simirt.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Alexandra Rouquette & Jean-Benoit Hardouin & Alexis Vanhaesebrouck & Véronique Sébille & Joël Coste, 2019. "Differential Item Functioning (DIF) in composite health measurement scale: Recommendations for characterizing DIF with meaningful consequences within the Rasch model framework," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-16, April.

    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:boc:bocode:s450402. 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 (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    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.