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