English, Article edition: RASCHTESTV7: Stata module to estimate parameters of the Rasch model by CML, MML or GEE (v7) Jean-Benoit Hardouin

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Bookmark: http://trove.nla.gov.au/version/174669
Physical Description
  • code
Language
  • English

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Title
  • RASCHTESTV7: Stata module to estimate parameters of the Rasch model by CML, MML or GEE (v7)
Author
  • Jean-Benoit Hardouin
Physical Description
  • code
Notes
  • raschtestv7 estimates the parameters of a Rasch model. The estimation method can be chosen between conditional maximum likelihood (CML), marginal maximum likelihood (MML) and generalized estimating equations (GEE). raschtestv7 offer a set of tests, to valuate the fit of the data to the Rasch model, or detect non homogeneous items (Andersen Z test, First order test (Q1, R1c, R1m, or Wright Panchapakesan), U test, Split test) and indexes (OUTFIT and INFIT per items or per individuals). Several graphical representations can be easily obtained: comparison of the observed and theorical Item Characteristic Curves (ICC), results of the split tests, and information function. Stata 8+ users should use raschtest. The gllamm routine also must be installed (ssc install gllamm, replace).
  • Rasch model, van den Wollenberg Q1 test, Andersen Z test, conditional maximum likelihood (CML), marginal maximum likelihood (MML), generalised estimating equations (GEE)
  • RePEc:boc:bocode:s439003
Language
  • English
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