By Clement A. Stone,Xiaowen Zhu
Working via this book’s examples, you'll find out how to write the PROC MCMC programming code to estimate quite a few uncomplicated and extra complicated IRT types, together with the alternative and specification of previous distributions, specification of the possibility version, and interpretation of effects. in particular, you are going to research PROC MCMC programming code for estimating specific types and how one can interpret effects that illustrate convergence diagnostics and inferences for parameters, in addition to effects that may be utilized by scale developers—for instance, the plotting of merchandise reaction features. furthermore, you'll find out how to evaluate competing IRT types for an program, in addition to evaluation the healthy of types with using posterior predictive version checking equipment.
Numerous courses for accomplishing those analyses are supplied and annotated so you might simply regulate them on your applications.
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Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone,Xiaowen Zhu