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

By Clement A. Stone,Xiaowen Zhu

Written specifically for psychometricians, scale builders, and practitioners drawn to purposes of Bayesian estimation and version checking of merchandise reaction concept (IRT) types, this ebook teaches you the way to complete all of this with the SAS MCMC technique. due to its educational constitution, Bayesian research of merchandise reaction idea types utilizing SAS could be of quick useful 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 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

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