Bayesian Statistics for the Social Sciences from Guilford Press at the Book Checkout

Bayesian Statistics For The Social Sciences
Bayesian Statistics for the Social Sciences
Book Category:
Psychology > General
Author:
David Kaplan, PhD, Department of Educational Psychology, University of Wisconsin?Madison
Binding:
Cloth
ISBN 13:
9781462516513
Price:
USD $60.00
Publication Year:
2014

Publisher Info

James Chan,

Guilford Press,
370 Seventh Avenue,
New York ,
New York - 10001,
USA

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Book Description

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statistics to multilevel modeling and modeling for continuous and categorical latent variables. Kaplan closes with a discussion of philosophical issues and argues for an "evidence-based" framework for the practice of Bayesian statistics. Useful features for teaching or self-study: *Includes worked-through, substantive examples, using large-scale educational and social science databases, such as PISA (Program for International Student Assessment) and the LSAY (Longitudinal Study of American Youth). *Utilizes open-source R software programs available on CRAN (such as MCMCpack and rjags); readers do not have to master the R language and can easily adapt the example programs to fit individual needs. *Shows readers how to carefully warrant priors on the basis of empirical data. *Companion website features data and code for the book's examples, plus other resources.

 
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