Name: Bayesian Psychometric Modeling (Chapman & Hall (en Inglés)
Price: 198457.00 COP
Availability: InStock
Author: Levy, Roy ; Mislevy, Robert J.
ISBN: 9780367737092

portada Bayesian Psychometric Modeling (Chapman & Hall (en Inglés)

Formato

Libro Físico

Autor

Roy Levy

Robert J. Mislevy

Editorial

CRC Press

Año

2020

Idioma

Inglés

N° páginas

492

Encuadernación

Tapa Blanda

Dimensiones

25.1 x 17.5 x 3.0 cm

Peso

0.84 kg.

ISBN13

9780367737092

N° edición

Categorías

Probabilidad y estadística

Bayesian Psychometric Modeling (Chapman & Hall (en Inglés)

Roy Levy (Autor) · Robert J. Mislevy (Autor) · CRC Press · Tapa Blanda

Libro Nuevo

$ 198.457

$ 305.319

Ahorras: $ 106.862

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 26 de Junio y el Viernes 12 de Julio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Bayesian Psychometric Modeling (Chapman & Hall (en Inglés)"

A Single Cohesive Framework of Tools and Procedures for Psychometrics and AssessmentBayesian 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.