S3 Methods for Assessing Model Fit
This S3 method assesses global (absolute) model fit using
the methods described in modelfit.cor.din.
IRT.modelfit(object, ...) ## S3 method for class 'din' IRT.modelfit(object, ...) ## S3 method for class 'gdina' IRT.modelfit(object, ...) ## S3 method for class 'IRT.modelfit.din' summary(object, ...) ## S3 method for class 'IRT.modelfit.gdina' summary(object, ...)
See output of modelfit.cor.din.
For extracting the individual likelihood or posterior see
IRT.likelihood or IRT.posterior.
The model fit of objects of class gdm can be obtained
by using the
TAM::tam.modelfit.IRT
function in the TAM package.
## Not run: ############################################################################# # EXAMPLE 1: Absolute model fit ############################################################################# data(sim.dina, package="CDM") data(sim.qmatrix, package="CDM") #*** Model 1: DINA model for DINA simulated data mod1 <- CDM::din( sim.dina, q.matrix=sim.qmatrix, rule="DINA" ) fmod1 <- CDM::IRT.modelfit( mod1 ) summary(fmod1) ## Test of Global Model Fit ## type value p ## 1 max(X2) 8.728 0.113 ## 2 abs(fcor) 0.143 0.080 ## ## Fit Statistics ## est ## MADcor 0.030 ## SRMSR 0.040 ## 100*MADRESIDCOV 0.671 ## MADQ3 0.062 ## MADaQ3 0.059 #*** Model 2: GDINA model mod2 <- CDM::gdina( sim.dina, q.matrix=sim.qmatrix, rule="GDINA" ) fmod2 <- CDM::IRT.modelfit( mod2 ) summary(fmod2) ## Test of Global Model Fit ## type value p ## 1 max(X2) 2.397 1 ## 2 abs(fcor) 0.078 1 ## ## Fit Statistics ## est ## MADcor 0.023 ## SRMSR 0.030 ## 100*MADRESIDCOV 0.515 ## MADQ3 0.075 ## MADaQ3 0.071 ## End(Not run)
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