Publication Date
4-2003
Document Type
Presented Paper
Abstract
Using simulated data, MUL TILOG and P ARSCALE were compared on their recovery of item and trait parameters under the graded response and generalized partial credit item response theory models. The shape of the latent population distribution (normal, skewed, or uniform) and the sample size (250 or 500) were varied. Parameter estimates were essentially unbiased under all conditions, and the root mean square error was similar for both software packages. The choice between these packages can therefore be based on considerations other than the accuracy of parameter estimation.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
DeMars, C. (2003, April). Recovery of graded response and partial credit parameters in MULTILOG and PARSCALE. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
