Download e-book for kindle: Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone,Xiaowen Zhu

By Clement A. Stone,Xiaowen Zhu

Written particularly for psychometricians, scale builders, and practitioners drawn to purposes of Bayesian estimation and version checking of merchandise reaction conception (IRT) types, this ebook teaches you the way to complete all of this with the SAS MCMC technique. due to its instructional constitution, Bayesian research of merchandise reaction thought types utilizing SAS might be of speedy functional use to SAS clients with a few introductory history in IRT types and the Bayesian paradigm.

Working via this book’s examples, you'll the way to write the PROC MCMC programming code to estimate quite a few basic and extra complicated IRT types, together with the alternative and specification of previous distributions, specification of the possibility version, and interpretation of effects. particularly, you'll study 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 features. moreover, you'll the best way to examine competing IRT types for an program, in addition to overview the healthy of versions with using posterior predictive version checking equipment.

Numerous courses for accomplishing those analyses are supplied and annotated so you might simply alter them to 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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