plot.DIF_stats | R Documentation |

plot method for pairwise DIF statistics

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

`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 |

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.

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.

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