By Clement A. Stone,Xiaowen Zhu
Working via this book’s examples, you'll the way to write the PROC MCMC programming code to estimate quite a few basic and extra complicated IRT types, together with the alternative and specification of previous distributions, specification of the possibility version, and interpretation of effects. particularly, you'll study PROC MCMC programming code for estimating specific types and how you 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. moreover, you'll the best way to examine competing IRT types for an program, in addition to overview the healthy of versions with using posterior predictive version checking equipment.
Numerous courses for accomplishing those analyses are supplied and annotated so you might simply alter them to your applications.
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Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone,Xiaowen Zhu