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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