| simCRSM {pcIRT} | R Documentation |
simulate data according to CRSM
Description
With this function data sets according to the Continous Rating Scale Model are simulated
Usage
simCRSM(itempar, disp, perspar, mid = 0.5, len = 1, seed = NULL)
Arguments
itempar |
a numerical vector with item parameters |
disp |
a number setting the dispersion parameter for the item set |
perspar |
a numerical vector with the person parameters |
mid |
the midpoint of the response scale (on which the data set is generated) |
len |
the length of the response scale (on which the data set is generated) |
seed |
a seed for the random number generated can optionally be set |
Details
The midpoint and the length of the response scale define the interval of the data set generated. The default of the function generates data according to a response scale between 0 and 1 - that is midpoint 0.5 and length 1.
Value
datmat |
simulated data set |
true_itempar |
the fixed item parameters according to the input |
true_disppar |
the fixed dispersion parameter according to the input |
true_perspar |
the fixed person parameters according to the input |
Author(s)
Christine Hohensinn
References
Mueller, H. (1987). A Rasch model for continuous ratings. Psychometrika, 52, 165-181.