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

By Clement A. Stone,Xiaowen Zhu

Written specifically for psychometricians, scale builders, and practitioners drawn to functions of Bayesian estimation and version checking of merchandise reaction concept (IRT) versions, this e-book 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 conception types utilizing SAS can be of instant functional use to SAS clients with a few introductory heritage in IRT versions and the Bayesian paradigm.

Working via this book’s examples, you'll the right way to write the PROC MCMC programming code to estimate a variety of basic and extra complicated IRT versions, together with the alternative and specification of previous distributions, specification of the chance version, and interpretation of effects. in particular, you are going to examine 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'll how to evaluate competing IRT types for an program, in addition to review the healthy of types with using posterior predictive version checking equipment.

Numerous courses for engaging in those analyses are supplied and annotated that you should simply regulate them to your applications.

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