IRT.factor.scores {CDM} | R Documentation |
S3 Methods for Extracting Factor Scores (Person Classifications)
Description
This S3 method extracts factor scores or skill classifications.
Usage
IRT.factor.scores(object, ...)
## S3 method for class 'din'
IRT.factor.scores(object, type="MLE", ...)
## S3 method for class 'gdina'
IRT.factor.scores(object, type="MLE", ...)
## S3 method for class 'mcdina'
IRT.factor.scores(object, type="MLE", ...)
## S3 method for class 'gdm'
IRT.factor.scores(object, type="EAP", ...)
## S3 method for class 'slca'
IRT.factor.scores(object, type="MLE", ...)
Arguments
object |
|
type |
Type of estimated factor score. This can be
|
... |
More arguments to be passed. |
Value
A matrix or a vector with classified scores.
See Also
For extracting the individual likelihood or the individual posterior see
IRT.likelihood
or IRT.posterior
.
Examples
#############################################################################
# EXAMPLE 1: Extracting factor scores in the DINA model
#############################################################################
data(sim.dina, package="CDM")
data(sim.qmatrix, package="CDM")
# estimate DINA model
mod1 <- CDM::din( sim.dina, q.matrix=sim.qmatrix)
summary(mod1)
# MLE
fsc1a <- CDM::IRT.factor.scores(mod1)
# MAP
fsc1b <- CDM::IRT.factor.scores(mod1, type="MAP")
# EAP
fsc1c <- CDM::IRT.factor.scores(mod1, type="EAP")
# compare classification for skill 1
stats::xtabs( ~ fsc1a[,1] + fsc1b[,1] )
graphics::boxplot( fsc1c[,1] ~ fsc1a[,1] )
[Package CDM version 8.2-6 Index]