summary.DIFtree: Summary for fitted Item focussed Trees

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/summary.DIFtree.R

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 <[email protected]>
http://www.imbie.uni-bonn.de/personen/dr-moritz-berger/

References

Berger, Moritz and Tutz, Gerhard (2016): Detection of Uniform and Non-Uniform Differential Item Functioning by Item Focussed Trees, Journal of Educational and Behavioral Statistics 41(6), 559-592.

Bollmann, Stella, Berger, Moritz & Tutz, Gerhard (2018): Item-Focussed Trees for the Detection of Differential Item Functioning in Partial Credit Models, Educational and Psychological Measurement 78(5), 781-804.

Tutz, Gerhard and Berger, Moritz (2016): Item focussed Trees for the Identification of Items in Differential Item Functioning, Psychometrika 81(3), 727-750.

See Also

DIFtree, plot.DIFtree, predict.DIFtree

Examples

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data(data_sim_Rasch)
 
Y <- data_sim_Rasch[,1]
X <- data_sim_Rasch[,-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)

DIFtree documentation built on May 2, 2019, 5:13 a.m.