Abstract

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment. Bayesian Psychometric Modeling 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. The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

Original languageEnglish (US)
PublisherCRC Press
Number of pages452
ISBN (Electronic)9781439884683
ISBN (Print)9781439884676
DOIs
StatePublished - May 25 2016

Fingerprint

Psychometrics
Modeling
Bayesian Approach
Latent Class Analysis
WinBUGS
Test Theory
Bayesian Methods
Factor Analysis
Markov Chain Monte Carlo
Bayesian Networks
Statistical Model
Gaussian distribution
Regression
Model
Cover
Distinct
Alternatives

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Bayesian psychometric modeling. / Levy, Roy; Mislevy, Robert J.

CRC Press, 2016. 452 p.

Research output: Book/ReportBook

Levy, Roy ; Mislevy, Robert J. / Bayesian psychometric modeling. CRC Press, 2016. 452 p.
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