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 drawn to functions of Bayesian estimation and version checking of merchandise reaction conception (IRT) versions, this e-book teaches you ways to complete all of this with the SAS MCMC strategy. as a result of its educational constitution, Bayesian research of merchandise reaction thought types utilizing SAS may be of speedy sensible use to SAS clients with a few introductory historical past in IRT types and the Bayesian paradigm.

Working via this book’s examples, you'll 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 past distributions, specification of the chance version, and interpretation of effects. particularly, you are going to study 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. furthermore, you are going to easy methods to examine competing IRT versions for an software, in addition to assessment the healthy of types with using posterior predictive version checking tools.

Numerous courses for undertaking those analyses are supplied and annotated that you can simply alter them on your applications.

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