| IRT.modelfit {CDM} | R Documentation |
S3 Methods for Assessing Model Fit
Description
This S3 method assesses global (absolute) model fit using
the methods described in modelfit.cor.din.
Usage
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, ...)
Arguments
object |
|
... |
More arguments to be passed. |
Value
See output of modelfit.cor.din.
See Also
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.
Examples
## 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)
[Package CDM version 8.2-6 Index]