gmc.CRSM {pcIRT} | R Documentation |
Graphical model check
Description
A graphical model check is performed for the multidimensional polytomous Rasch model or the continuous Rating Scale Model.
Usage
## S3 method for class 'CRSM'
gmc(object, splitcrit = "score", ...)
gmc(object, ...)
## S3 method for class 'aLR'
gmc(object, ...)
Arguments
object |
Object of class |
splitcrit |
Vector or the character vector |
... |
... |
Details
The graphical model check plots the item parameter estimates of two
subsamples to check the homogeneity. This is according to the subsample
split in Andersen's Likelihood Ratio test. For conducting the graphical
model check of the MPRM, at first, a LRT
has to be computed
and the resulting object is the input for the gmc
function.
For plotting a graphical model check for the CRSM, the model has to be
estimated with CRSM
and subsequently the resulting object is
the input for the gmc
function. For the CRSM a split criterion has to
be input as vector.
Author(s)
Christine Hohensinn
References
Wright, B.D., and Stone, M.H. (1999). Measurement Essentials. Wilmington: Wide Range Inc.