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 quite a few easy and extra complicated IRT types, together with the alternative and specification of past 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 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 capabilities. additionally, you'll the best way to evaluate competing IRT types for an program, in addition to assessment the healthy of versions with using posterior predictive version checking equipment.
Numerous courses for carrying out those analyses are supplied and annotated so you might 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