Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone,Xiaowen Zhu

By Clement A. Stone,Xiaowen Zhu

Written specially for psychometricians, scale builders, and practitioners attracted to purposes of Bayesian estimation and version checking of merchandise reaction thought (IRT) types, this publication teaches you ways to complete all of this with the SAS MCMC process. as a result of its instructional constitution, Bayesian research of merchandise reaction thought types utilizing SAS should be of speedy sensible use to SAS clients with a few introductory historical past in IRT versions and the Bayesian paradigm.

Working via this book’s examples, you'll the best way to write the PROC MCMC programming code to estimate a number of easy and extra advanced IRT versions, together with the alternative and specification of past distributions, specification of the chance version, and interpretation of effects. particularly, you'll research PROC MCMC programming code for estimating specific versions 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 are going to easy methods to evaluate competing IRT versions for an software, in addition to assessment the healthy of types with using posterior predictive version checking tools.

Numerous courses for carrying out those analyses are supplied and annotated so you might simply alter them to your applications.

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