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DETECT: Stata module to compute the DETECT, Iss and R indexes to test a partition of items

Author

Listed:
  • Jean-Benoit Hardouin

    () (University of Nantes, France)

Abstract

DETECT computes, for a partition of the items, the DETECT, Iss and R indexes defined by Zhang and Stout (1999). These indexes permit to valuate the qualities of a partition of dichotomous items in function of the assumptions of unidimensionality and local independance of the Item Response Theory. The greatest partition of items is one who have the maximal value for DETECT. The DETECT index is maximized to the "good" partition of the items if the items verify an approximate simple structure (obtained if Iss and R indexes egal to 1 to the "good" partition).

Suggested Citation

  • Jean-Benoit Hardouin, 2004. "DETECT: Stata module to compute the DETECT, Iss and R indexes to test a partition of items," Statistical Software Components S439404, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s439404
    Note: This module should be installed from within Stata by typing "ssc install detect". Windows users should not attempt to download these files with a web browser.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/d/detect.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/d/detect.hlp
    File Function: help file
    Download Restriction: no

    More about this item

    Keywords

    DETECT; R; Iss; IRT; partition of items; items selection;

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