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).
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number
S439404.
Size: Programming language: Stata Requires: Stata version 7 Date of creation: 17 May 2004 Date of revision: Handle: RePEc:boc:bocode:s439404
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. Contact details of provider: Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Phone: 617-552-3670 Fax: +1-617-552-2308 Email: Web page: http://fmwww.bc.edu/EC/ More information through EDIRC