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

Jean-Benoit Hardouin ()

Statistical Software Components from Boston College Department of Economics

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).

Language: Stata
Requires: Stata version 7
Keywords: DETECT; R; Iss; IRT; partition of items; items selection (search for similar items in EconPapers)
Date: 2004-05-17
Note: This module may be installed from within Stata by typing "ssc install detect". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/detect.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/detect.hlp help file (text/plain)

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Persistent link: http://EconPapers.repec.org/RePEc:boc:bocode:s439404

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