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

Author

Listed:
  • Jean-Benoit Hardouin

    (University of Nantes, France)

Programming Language

Stata

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.

Suggested Citation

  • Jean-Benoit Hardouin, 2013. "RASCHFIT: Stata module to implement the Raschfit algorithm defined by Hardouin and Mesbah (2004)," Statistical Software Components S457644, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s457644
    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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    File URL: http://fmwww.bc.edu/repec/bocode/r/raschfit.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/r/raschfit.hlp
    File Function: help file
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