pwrRasch {pwrRasch}R Documentation

Statistical Power Simulation for Testing the Rasch Model

Description

Statistical power simulation for testing the Rasch Model based on a three-way analysis of variance design with mixed classification.

Author(s)

Takuya Yanagida [aut,cre] takuya.yanagida@univie.ac.at, Jan Steinfeld [aut] jan.steinfeld@univie.ac.at, Thomas Kiefer [ctb]

Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

References

Kubinger, K. D., Rasch, D., & Yanagida, T. (2009). On designing data-sampling for Rasch model calibrating an achievement test. Psychology Science Quarterly, 51, 370-384.

Kubinger, K. D., Rasch, D., & Yanagida, T. (2011). A new approach for testing the Rasch model. Educational Research and Evaluation, 17, 321-333.

Verhelst, N. D. (2008). An efficient MCMC algorithm to sample binary matrices with fixed marginals. Psychometrika, 73(4), 705-728.

Verhelst, N., Hatzinger, R., & Mair, P. (2007). The Rasch sampler. Journal of Statistical Software, 20(4), 1-14.

See Also

aov.rasch, pwr.rasch


[Package pwrRasch version 0.1-2 Index]