plot.DIF_stats: plot method for pairwise DIF statistics

View source: R/dif.R

plot.DIF_statsR Documentation

plot method for pairwise DIF statistics

Description

plot method for pairwise DIF statistics

Usage

## S3 method for class 'DIF_stats'
plot(x, items = NULL, itemsX = items, itemsY = items, alpha = 0.05, ...)

Arguments

x

object produced by DIF

items

character vector of item id's for a subset of the plot. Useful if you have many items. If NULL all items are plotted.

itemsX

character vector of item id's for the X axis

itemsY

character vector of item id's for the Y axis

alpha

significance level used to color the plot (two sided)

...

further arguments to plot

Details

Plotting produces an image of the matrix of pairwise DIF statistics. The statistics are standard normal deviates and colored to distinguish significant from non-significant values. If there is no DIF, a proportion alpha off the cells will be colored significant by chance alone.

References

Feskens, R., Fox, J. P., & Zwitser, R. (2019). Differential item functioning in PISA due to mode effects. In Theoretical and Practical Advances in Computer-based Educational Measurement (pp. 231-247). Springer, Cham.


dexter documentation built on May 25, 2022, 9:10 a.m.