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RASCHTEST: Stata module to estimate parameters of the Rasch model by CML, MML or GEE

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Author Info

  • Jean-Benoit Hardouin

    () (University of Nantes, France)

Abstract

raschtest estimates the parameters of a Rasch model. The estimation method can be chosen between conditional maximum likelihood (CML), marginal maximum likelihood (MML) and generalized estimating equations (GEE). raschtest offer a set of tests, to valuate the fit of the data to the Rasch model, or detect non homogeneous items (Andersen Z test, First order test (Q1, R1c, R1m, or Wright Panchapakesan), U test, Split test) and indexes (OUTFIT and INFIT per items or per individuals). Several graphical representations can be easily obtained: comparison of the observed a nd theoretical Item Characteristic Curves (ICC), Map difficulty parameters/Scores, results of the split tests, and information function. Stata 7 users should employ raschtestv7. The gllamm routine also must be installed (ssc install gllamm, replace).

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Bibliographic Info

Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S439001.

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Programming language: Stata
Requires: Stata version 8.0
Date of creation: 04 May 2004
Date of revision: 08 May 2013
Handle: RePEc:boc:bocode:s439001

Note: This module should be installed from within Stata by typing "ssc install raschtest". 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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Web: http://repec.org/docs/ssc.php

Related research

Keywords: Rasch model; van den Wollenberg Q1 test; Andersen Z test; conditional maximum likelihood (CML); marginal maximum likelihood (MML); generalised estimating equations (GEE);

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