RASCHFIT: Stata module to implement the Raschfit algorithm defined by Hardouin and Mesbah (2004)

Jean-Benoit Hardouin ()

Statistical Software Components from Boston College Department of Economics

Abstract: raschfit realizes the Raschfit algorithm defined by Hardouin and Mesbah (2004). This method selects sub-scales of items which fit a Rasch model. The method begin with a kernel of items (two or more items) defined by the user. At each step, the method uses a new item and verifies if this new item is explained by the same latent trait than the already selected items. If not, the items is not selected. The former version of the Raschfit algorithm is based on the comparison of two model: A Rasch model and a Multidimensional Marginally Sufficient Rasch Model (MMSRM). These two models are compared by the Akaike Information Criterion (AIC). A faster version of the algorithm (Raschfit-Fast) compares the Rasch model and an adapted version of this model where the response to the "new" item is not explained by the latent trait. Raschfit-Fast is executed by default.

Language: Stata
Requires: Stata version 7, raschtest and mmsrm from SSC (q.v.)
Keywords: raschfit; mmsrm; Rasch analysis; Item Response Theory (search for similar items in EconPapers)
Date: 2013-05-08
Note: This module should be installed from within Stata by typing "ssc install raschfit". 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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http://fmwww.bc.edu/repec/bocode/r/raschfit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/raschfit.hlp help file (text/plain)

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