wald_dif_test: Wald item-level DIF test
In aiDIF: Differential Item Functioning for AI-Scored Assessments
View source: R/robust_engine.R
wald_dif_test R Documentation
Wald item-level DIF test
Description
Tests H0: y_i = theta for each item, using the projected
variance that accounts for estimation of theta itself.
Usage
wald_dif_test(y, theta, Vcov)
Arguments
y
Scaling function values.
theta
Estimated robust scale parameter.
Vcov
Covariance matrix of y (at theta under H0).
Value
A data.frame with columns delta, se,
z, p_val.
aiDIF documentation built on April 22, 2026, 1:10 a.m.
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View source: R/robust_engine.R
| wald_dif_test | R Documentation |
Wald item-level DIF test
Description
Tests H0: y_i = theta for each item, using the projected variance that accounts for estimation of theta itself.
Usage
wald_dif_test(y, theta, Vcov)
Arguments
y |
Scaling function values. |
theta |
Estimated robust scale parameter. |
Vcov |
Covariance matrix of y (at theta under H0). |
Value
A data.frame with columns delta, se,
z, p_val.
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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