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GEEKEL2D: Stata module to estimate the parameters of unidimensional and bidimensional IRT models

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Author Info
Jean-Benoit Hardouin () (University of Nantes, France)

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Abstract

geekel2d estimates, with Generalized Estimating Equations (GEE), the parameters of the loglinear multidimensional IRT models (Kelderman and Rijkes, Psychometrika, 1994) with one or two dimensions and dichotomic items. This model includes the Rasch model and the One Parameter Logistic Model for the unidimensional models, the Multidimensional Generalized Rasch Model and the Multidimensional Completely Sufficient Rasch Model for the two-dimensional models.

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File URL: http://fmwww.bc.edu/repec/bocode/g/geekel2d.ado
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File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/g/geekel2d.hlp
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File Function: help file
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S439004.

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Programming language: Stata
Requires: Stata version 7.0
Date of creation: 04 Apr 2005
Date of revision: 18 Jan 2006
Handle: RePEc:boc:bocode:s439004

Note: This module may be installed from within Stata by typing "ssc install geekel2d". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: GEE; IRT; Rasch model; OPLM; multidimensional; GMRM; MMSRM;

Statistics
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This page was last updated on 2009-12-10.


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