Bayesian Analysis of Item Response Theory Models Using SAS - download pdf or read online

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 thought (IRT) versions, this booklet teaches you the way to complete all of this with the SAS MCMC technique. as a result of its instructional constitution, Bayesian research of merchandise reaction idea types utilizing SAS may be of fast useful use to SAS clients with a few introductory historical past in IRT versions and the Bayesian paradigm.

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

Numerous courses for engaging in those analyses are supplied and annotated so you might simply adjust 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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