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

View source: R/predict.DIFtree.R

The function returns predictions of item parameters obtained by item focussed recursive partitioning based on the Rasch Model or the Logistic Regression Approach for DIF detection.

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`object` |
Object of class |

`item` |
Number of the item, for which the prediction shall be returned |

`newdata` |
New data.frame, for which the prediction shall be returned |

`...` |
Further arguments passed to or from other methods |

For `"Rasch"`

model the function returns the predicted item difficulty.
For `"Logistic"`

models the function returns the predicted intercept and/or slope.

Moritz Berger <moritz.berger@stat.uni-muenchen.de>

http://www.statistik.lmu.de/~mberger/

Berger, Moritz and Tutz, Gerhard (2015): Detection of Uniform and Non-Uniform Differential Item Functioning by Item Focussed Trees, Cornell University Library, arXiv:1511.07178

Tutz, Gerhard and Berger, Moritz (2015): Item Focused Trees for the Identification of Items in Differential Item Functioning, Psychometrika, published online, DOI: 10.1007/s11336-015-9488-3

`DIFtree`

, `plot.DIFtree`

, `summary.DIFtree`

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