Bayesian psychometric modeling / Roy Levy, Arizona State University, Tempe, Arizona, USA, Robert J. Mislevy, Educational Testing Service, Princeton New Jersey, USA.

Format:

Book

Author/Creator:

Levy, Roy (Statistics professor), author.

Mislevy, Robert J., author.

Series:

Statistics in the social and behavioral sciences series.

Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series

Language:

English

Subjects (All):

Psychometrics--Mathematical models.

Psychometrics.

Bayesian statistical decision theory.

Physical Description:

1 online resource (480 pages).

Edition:

1st edition

Place of Publication:

Boca Raton : Taylor & Francis Group, [2016]

Language Note:

English

System Details:

text file

Summary:

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.

Contents:

Overview of assessment and psychometric Modeling

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.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references.

Description based on print version record.

ISBN:

9781315374604

1315374609

9781439884683

1439884684

OCLC:

950613591