By Clement A. Stone,Xiaowen Zhu
Working via this book’s examples, you'll tips on how to write the PROC MCMC programming code to estimate a number of easy and extra complicated IRT versions, together with the alternative and specification of previous distributions, specification of the possibility version, and interpretation of effects. particularly, you are going to examine 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 capabilities. additionally, you'll the best way to examine competing IRT types for an software, in addition to assessment the healthy of versions with using posterior predictive version checking tools.
Numerous courses for accomplishing those analyses are supplied and annotated that you should simply alter them in your applications.
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Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone,Xiaowen Zhu