Bayesian psychometric modeling
by Levy, Roy, (Statistics professor)
"Presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate--and sometimes conflicting--ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activi…
Read More ↓Title Statements
- Full title :Bayesian psychometric modeling / Roy Levy, Arizona State University Tempe, Arizona, USA, Robert J. Mislevy, Educational Testing Service Princeton New Jersey, USA.
Summary
"Presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate--and sometimes conflicting--ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking."--Provided by publisher.
Read More ↓Edition Statements
- Publication Date:2016
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2016
Notes
"A Chapman & Hall book."
The Physical Object
- Description:xxvi, 464 pages : : illustrations ; : 27 cm.
Edition Identifiers
- ISBN:9781439884676, 1439884676
- oclc:ocn730403930
- LC Classification:BF39.2.B39
- Dewey Decimal:150.1/519542
Table of Contents
Overview of assessment and psychometric Mmodeling -- Introduction to Bayesian inference -- Conceptual issues in Bayesian inference -- Normal distribution models -- Markov chain Monte Carlo estimation -- Regression -- Canonical Bayesian psychometric modeling -- Classical test theory -- Confirmatory factor analysis -- Model evaluation -- Item response theory -- Missing data modeling -- Latent class analysis -- Bayesian networks.
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