FITSTAT_ERS: Stata module to compute goodness of fit statistics for Rasch model

Christian Gregory

Statistical Software Components from Boston College Department of Economics

Abstract: fitstat_ers computes outfit and infit statistics for the conditional maximum likelihood (cml) Rasch model, using formulas outlined in Linacre and Wright (1994). These fit statistics differ from those computed by the –raschtest-, which are normalized to be approximately normal random variates. These statistics are not normalized.

Language: Stata
Requires: Stata version 9 and gammasym (q.v.) To output tables of statistics, xml_tab.ado and/or outtable.ado are required.
Keywords: Rasch model; goodness of fit (search for similar items in EconPapers)
Date: 2011-12-22
Note: This module should be installed from within Stata by typing "ssc install fitstat_ers". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

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

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457378

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().