simul.data: Simulated data set

In DIFboost: Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques

Description

Simulated data set with 100 persons, 10 items and 3 (standardized) covariates. Items 1, 2 and 3 are DIF items.

Usage

data(simul.data)

Format

Item1

Item 1, DIF item

Item2

Item 2, DIF item

Item3

Item 3, DIF item

Item4

Item 4, non-DIF item

Item5

Item 5, non-DIF item

Item6

Item 6, non-DIF item

Item7

Item 7, non-DIF item

Item8

Item 8, non-DIF item

Item9

Item 9, non-DIF item

Item10

Item 10, non-DIF item

CovBin1

Binary covariate (standardized)

CovBin2

Binary covariate (standardized)

CovMet

Metric covariate (standardized)

Author(s)

Gunther Schauberger
gunther.schauberger@tum
https://www.sg.tum.de/epidemiologie/team/schauberger/

References

Schauberger, Gunther and Tutz, Gerhard (2016): Detection of Differential Item Functioning in Rasch Models by Boosting Techniques, British Journal of Mathematical and Statistical Psychology, 69(1), 80 - 103

See Also

DIFboost, print.DIFboost

Examples

## Not run: 
data(simul.data)

Y <- simul.data[,1:10]
X <- simul.data[,11:13]

m1 <- DIFboost(Y = Y, X = X) 
print(m1)

## End(Not run)

DIFboost documentation built on July 2, 2020, 3:26 a.m.