PCMODEL: Stata module to estimate parameters of a Partial Credit Model or a Rating Scale Model by MML

Jean-François Hamel ()

Statistical Software Components from Boston College Department of Economics

Abstract: pcmodel estimates the parameters of a Partial Credit model or a Rating Scale model using marginal maximum likelihood (MML). With pcmodel, it is possible to include covariates possibly affecting the individuals latent trait. pcmodel offers assistance in the interpretation of such covariates effect, by estimating the Type III sums of squares for these covariates, the proportion of the latent trait variance and the proportion of pseudo R2 they can explain.

Language: Stata
Requires: Stata version 11 and gllamm, gausshermite from SSC (q.v.)
Keywords: partial credit model; rating scale model; latent trait; marginal maximum likelihood (search for similar items in EconPapers)
Date: 2014-02-15, Revised 2014-09-04
Note: This module should be installed from within Stata by typing "ssc install pcmodel". 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/pcmodel.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pcmodel.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghquadm.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghquadm.hlp help file (text/plain)

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