plot.DIF_stats: plot method for pairwise DIF statistics
In dexter: Data Management and Analysis of Tests
plot.DIF_stats R 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 Sept. 11, 2024, 6:42 p.m.
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| plot.DIF_stats | R 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 |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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