Overall Tests of the Rasch Model

Svend Kreiner; Karl Bang Christensen

Overall Tests of the Rasch Model

Biostatistisk afdeling

5 Citationer (Scopus)

Abstract

This chapter describes the overall model fit. Overall fit statistics assess the adequacy of the model for a data set as a whole. Overall tests of fit are also useful for Rasch models, even though their lack of transparency concerning why the model does not fit means that such fit statistics can never stand alone. This chapter describes a conditional likelihood ratio (CLR) test derived by Erling B. Andersen in the early 1970s and illustrates its use on the data on the disinhibited eating (DE) subscale of the Diabetes Health Profile (DHP). Andersen's test represented a major step forward in the theory of Rasch models at the time. Since then, other overall tests have been proposed but Andersen's test is still unsurpassed by the competitors. The CLR test compares conditional maximum likelihood (CML) estimates of item parameters in different subgroups to the CML estimates for the complete sample of persons.

Originalsprog	Udefineret/Ukendt
Titel	In:Rasch Models in Health
Redaktører	Mesbah M Christensen KB Kreiner S
Antal sider	5
Forlag	Wiley
Publikationsdato	4 mar. 2013
Sider	105-109
Status	Udgivet - 4 mar. 2013

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Citationsformater

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