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BACKRASCH: Stata module to implement a backward procedure with a Rasch model

Author

Listed:
  • Jean-Benoit Hardouin

    () (University of Nantes, France)

Abstract

backrasch realizes a Backward procedure on a Rasch model: the items are removed one per one if they have a bad fit to the Rasch model. The fit of the items is evaluated by a first-order statistics (test R1c, R1m or Q1) It is possible to build several sub-scales of items, the second sub-scale is build with the items unselected in the first sub-scales, the third one with the items unselected in the two first sub-scales, and so on... By default, the parameters of the Rasch model are estimated by conditional maximum likelihood (CML), but it is possible to estimate them by marginal maximum likelihood (MML) or generalized estimating equations (GEE). The raschtestv7 package (q.v.) must be installed to use backrasch.

Suggested Citation

  • Jean-Benoit Hardouin, 2005. "BACKRASCH: Stata module to implement a backward procedure with a Rasch model," Statistical Software Components S453102, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s453102
    Note: This module should be installed from within Stata by typing "ssc install backrasch". 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/b/backrasch.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/b/backrasch.hlp
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    More about this item

    Keywords

    Rasch model; Backward procedure; R1c; R1m; CML; MML; GEE;

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