summary.DIFtree: Summary for fitted Item focussed Trees

Description

The function takes an object of class "DIFtree" and returns an useful summary with an overiew of all executed splits during the estimation procedure.

Usage

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## S3 method for class 'DIFtree'
summary(object, ...)

## S3 method for class 'summary.DIFtree'
print(x, ...)

Arguments

object

Object of class DIFtree

...

Further arguments passed to or from other methods

x

Object of class summary.DIFtree

Value

Object of class "summary.DIFtree". An object of class "summary.DIFtree" is a list containing the following components:

stats

Useful overview of detected DIF items, responsible variables and executed splits

nosplits

Total number of executed splits during the estimation procedure

Author(s)

Moritz Berger <moritz.berger@stat.uni-muenchen.de>
http://www.statistik.lmu.de/~mberger/

References

Berger, Moritz and Tutz, Gerhard (2015): Detection of Uniform and Non-Uniform Differential Item Functioning by Item Focussed Trees, Cornell University Library, arXiv:1511.07178

Tutz, Gerhard and Berger, Moritz (2015): Item Focused Trees for the Identification of Items in Differential Item Functioning, Psychometrika, published online, DOI: 10.1007/s11336-015-9488-3

See Also

DIFtree, plot.DIFtree, predict.DIFtree

Examples

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data(data_sim)
 
Y <- data_sim[,1]
X <- data_sim[,-1]
 
## Not run: 
 
mod <- DIFtree(Y=Y,X=X,model="Logistic",type="udif",alpha=0.05,nperm=1000,trace=TRUE)
 
summary(mod)

## End(Not run)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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