Gibbs Sampling for 2PNO Multi-unidimensional Item Response Theory Models (Fortran)

Authors

Yanyan Sheng, Southern Illinois University Carbondale
Todd C. Headrick, Southern Illinois University Carbondale

Comments

Published in Journal of Modern Applied Statistical Methods, 2009, Vol. 8, No. 2, pp. 646-658.

Abstract

A Fortran 77 subroutine is provided for implementing the Gibbs sampling procedure to a multiunidimensional IRT model for binary item response data with the choice of uniform and normal prior distributions for item parameters. In addition to posterior estimates of the model parameters and their Monte Carlo standard errors, the algorithm also estimates the correlations between distinct latent traits.The subroutine requires the user to have access to the IMSL library.

Recommended Citation

Sheng, Yanyan and Headrick, Todd C. "Gibbs Sampling for 2PNO Multi-unidimensional Item Response Theory Models (Fortran)." (Winter 2009).