Bayesian Analysis of Item Response Theory Models Using SAS

Nonfiction, Science & Nature, Mathematics, Probability, Statistics, Computers, Application Software
Cover of the book Bayesian Analysis of Item Response Theory Models Using SAS by Clement A. Stone, Xiaowen Zhu, SAS Institute
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Clement A. Stone, Xiaowen Zhu ISBN: 9781629596792
Publisher: SAS Institute Publication: March 1, 2015
Imprint: SAS Institute Language: English
Author: Clement A. Stone, Xiaowen Zhu
ISBN: 9781629596792
Publisher: SAS Institute
Publication: March 1, 2015
Imprint: SAS Institute
Language: English

Written especially for psychometricians, scale developers, and practitioners interested in applications of Bayesian estimation and model checking of item response theory (IRT) models, this book teaches you how to accomplish all of this with the SAS MCMC Procedure. Because of its tutorial structure, Bayesian Analysis of Item Response Theory Models Using SAS will be of immediate practical use to SAS users with some introductory background in IRT models and the Bayesian paradigm. Working through this book’s examples, you will learn how to write the PROC MCMC programming code to estimate various simple and more complex IRT models, including the choice and specification of prior distributions, specification of the likelihood model, and interpretation of results. Specifically, you will learn PROC MCMC programming code for estimating particular models and ways to interpret results that illustrate convergence diagnostics and inferences for parameters, as well as results that can be used by scale developers—for example, the plotting of item response functions. In addition, you will learn how to compare competing IRT models for an application, as well as evaluate the fit of models with the use of posterior predictive model checking methods. Numerous programs for conducting these analyses are provided and annotated so that you can easily modify them for your applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Written especially for psychometricians, scale developers, and practitioners interested in applications of Bayesian estimation and model checking of item response theory (IRT) models, this book teaches you how to accomplish all of this with the SAS MCMC Procedure. Because of its tutorial structure, Bayesian Analysis of Item Response Theory Models Using SAS will be of immediate practical use to SAS users with some introductory background in IRT models and the Bayesian paradigm. Working through this book’s examples, you will learn how to write the PROC MCMC programming code to estimate various simple and more complex IRT models, including the choice and specification of prior distributions, specification of the likelihood model, and interpretation of results. Specifically, you will learn PROC MCMC programming code for estimating particular models and ways to interpret results that illustrate convergence diagnostics and inferences for parameters, as well as results that can be used by scale developers—for example, the plotting of item response functions. In addition, you will learn how to compare competing IRT models for an application, as well as evaluate the fit of models with the use of posterior predictive model checking methods. Numerous programs for conducting these analyses are provided and annotated so that you can easily modify them for your applications.

More books from SAS Institute

Cover of the book The SAS Programmer's PROC REPORT Handbook by Clement A. Stone, Xiaowen Zhu
Cover of the book JMP 14 Profilers by Clement A. Stone, Xiaowen Zhu
Cover of the book Multiple Imputation of Missing Data Using SAS by Clement A. Stone, Xiaowen Zhu
Cover of the book JMP Start Statistics by Clement A. Stone, Xiaowen Zhu
Cover of the book How to Become a Top SAS Programmer by Clement A. Stone, Xiaowen Zhu
Cover of the book The DS2 Procedure: SAS Programming Methods at Work by Clement A. Stone, Xiaowen Zhu
Cover of the book SAS Macro Programming Made Easy, Third Edition by Clement A. Stone, Xiaowen Zhu
Cover of the book The Essential Guide to SAS Dates and Times, Second Edition by Clement A. Stone, Xiaowen Zhu
Cover of the book SAS ODS Graphics Designer by Example by Clement A. Stone, Xiaowen Zhu
Cover of the book Multiple Time Series Modeling Using the SAS VARMAX Procedure by Clement A. Stone, Xiaowen Zhu
Cover of the book Predictive Modeling with SAS Enterprise Miner by Clement A. Stone, Xiaowen Zhu
Cover of the book Exchanging Data From SAS to Excel by Clement A. Stone, Xiaowen Zhu
Cover of the book Discovering JMP 14 by Clement A. Stone, Xiaowen Zhu
Cover of the book Applied Econometrics with SAS by Clement A. Stone, Xiaowen Zhu
Cover of the book Exploratory Factor Analysis with SAS by Clement A. Stone, Xiaowen Zhu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy