anchor_weights: Anchor item weights from the robust AI-DIF procedure.
In aiDIF: Differential Item Functioning for AI-Scored Assessments
anchor_weights R Documentation
Anchor item weights from the robust AI-DIF procedure.
Description
Returns the bi-square weights assigned to each item under each scoring
condition. Items with weight near zero are effectively excluded from
the robust scaling estimate, indicating likely DIF contamination.
Usage
anchor_weights(object)
Arguments
object
An aidif object from fit_aidif.
Value
A data.frame with columns human_weight and
(if AI data were provided) ai_weight. Higher weight means
the item is contributing more to the robust scale estimate.
Examples
eg <- make_aidif_eg()
mod <- fit_aidif(eg$human, eg$ai)
anchor_weights(mod)
aiDIF documentation built on April 22, 2026, 1:10 a.m.
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| anchor_weights | R Documentation |
Anchor item weights from the robust AI-DIF procedure.
Description
Returns the bi-square weights assigned to each item under each scoring condition. Items with weight near zero are effectively excluded from the robust scaling estimate, indicating likely DIF contamination.
Usage
anchor_weights(object)
Arguments
object |
An |
Value
A data.frame with columns human_weight and
(if AI data were provided) ai_weight. Higher weight means
the item is contributing more to the robust scale estimate.
Examples
eg <- make_aidif_eg()
mod <- fit_aidif(eg$human, eg$ai)
anchor_weights(mod)
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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