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.
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number
S453102.
Size: Programming language: Stata Requires: Stata version 8.0 Date of creation: 12 Jun 2005 Date of revision: Handle: RePEc:boc:bocode:s453102
Note: This module may be installed from within Stata by typing "ssc install backrasch". 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