GMH.poly: The generlized MH procedure on polytomous data
In cswells1/MeasInv: Collection of Methods to Detect Dichotomous and Polytomous Differential Item Functioning (DIF)
Description
Usage
Arguments
Value
Description
The generlized MH procedure on polytomous data
Usage
1
Arguments
data
numeric: either the data matrix only, or the data matrix plus the vector of group membership.
group
factor: the vector of group membership
sig.level
numeric: the significance level
purify
logical: purification for the anchor
Value
The data frame of the output has a number of rows equla to the number of items.
The column include the GMH_Chi_Square (GMH Chi-square statistic), df (degree of freedom)
and p-value (p-value for the GMH Chi-square statistic).
cswells1/MeasInv documentation built on Dec. 19, 2021, 7 p.m.
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Description Usage Arguments Value
Description
The generlized MH procedure on polytomous data
Usage
1 |
Arguments
data |
numeric: either the data matrix only, or the data matrix plus the vector of group membership. |
group |
factor: the vector of group membership |
sig.level |
numeric: the significance level |
purify |
logical: purification for the anchor |
Value
The data frame of the output has a number of rows equla to the number of items. The column include the GMH_Chi_Square (GMH Chi-square statistic), df (degree of freedom) and p-value (p-value for the GMH Chi-square statistic).
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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