PCM: Stata module to estimate the parameters of a Partial Credit Model (PCM) or of a Rating Scale Model (RSM)

Jean-Benoit Hardouin (jean-benoit.hardouin@univ-nantes.fr) and Myriam Blanchin (myriam.blanchin@univ-nantes.fr)
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Jean-Benoit Hardouin: University of Nantes, France
Myriam Blanchin: University of Nantes, France

Statistical Software Components from Boston College Department of Economics

Abstract: pcm estimates the parameters of a Partial Credit Model (PCM) or of a Rating Scale Model (RSM). Parameters are estimated using Marginal Maximum Likelihood (MML). Several graphical representations can be easily obtained: comparison bserved and theorical Item Characteristic Curves (ICC), Map difficulty parameters/Scores, results of the split tests, and information function (for the scale and by item). pcm allow equating two sets of items.

Language: Stata
Requires: Stata version 18, genscore and gengroup from SSC (q.v.)
Keywords: Partial Credit Model; Rating Scale Model; Rasch analysis; Equating; Rasch Measurement Theory (search for similar items in EconPapers)
Date: 2023-07-21, Revised 2024-07-27
Note: This module should be installed from within Stata by typing "ssc install pcm". 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.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/pcm.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pcm.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459223

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