By Clement A. Stone,Xiaowen Zhu
Working via this book’s examples, you'll how you can write the PROC MCMC programming code to estimate numerous easy and extra advanced IRT versions, together with the alternative and specification of past distributions, specification of the chance version, and interpretation of effects. in particular, you'll research 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 services. moreover, you are going to how to evaluate competing IRT types for an software, in addition to review 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 alter them to your applications.
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Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone,Xiaowen Zhu