R: Bias Correction of Item Parameters for Joint Maximum...
rasch.jml.biascorr
R Documentation
Bias Correction of Item Parameters for Joint Maximum Likelihood Estimation
in the Rasch model
Description
This function computes an analytical bias correction for the Rasch
model according to the method of Arellano and Hahn (2007).
Usage
rasch.jml.biascorr(jmlobj,itemfac=NULL)
Arguments
jmlobj
An object which is the output of the rasch.jml function
itemfac
Number of items which are used for bias correction.
By default it is the average number of item responses per person.
Value
A list with following entries
b.biascorr
Matrix of item difficulty estimates. The column
b.analytcorr1 contains item difficulties by analytical bias
correction of Method 1 in Arellano and Hahn (2007) whereas b.analytcorr2
corresponds to Method 2.
b.bias1
Estimated bias by Method 1
b.bias2
Estimated bias by Method 2
itemfac
Number of items which are used as the factor for bias
correction
Author(s)
Alexander Robitzsch
References
Arellano, M., & Hahn, J. (2007). Understanding bias in nonlinear panel
models: Some recent developments. In R. Blundell, W. Newey &
T. Persson (Eds.): Advances in Economics and
Econometrics, Ninth World Congress, Cambridge University Press.
See Also
See rasch.jml.jackknife1 for bias correction based on
Jackknife.