Name: Computational Aspects of Psychometric Methods (Chapman & Hall (en Inglés)
SKU: 55052802
Price: 66.04 USD
Availability: InStock
Author: Patricia Martinková; Adéla Hladká

portada Computational Aspects of Psychometric Methods (Chapman & Hall (en Inglés)

Computational Aspects of Psychometric Methods (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Press 2023-07-03, Boca Raton,

Autor

Patricia Martinková; Adéla Hladká

Idioma

Inglés

N° páginas

348

Encuadernación

Tapa Blanda

ISBN13

9780367515393

N° edición

Computational Aspects of Psychometric Methods (Chapman & Hall (en Inglés)

Patricia Martinková; Adéla Hladká (Autor) · Crc Press 2023-07-03, Boca Raton, · Tapa Blanda

Libro Nuevo Importado

Envío: 22 a 29 días háb.

$ 132.07$ 66.04

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 66.04

Llega entre el 30 Sep y el 14 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Computational Aspects of Psychometric Methods (Chapman & Hall (en Inglés)"

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application.Key Features: Statistical models and estimation methods involved in psychometric research Includes reproducible R code and examples with real datasets Interactive implementation in ShinyItemAnalysis application The book is targeted toward a wide range of researchers in the field of educational, psychological, and health-related measurements. It is also intended for those developing measurement instruments and for those collecting and analyzing data from behavioral measurements, who are searching for a deeper understanding of underlying models and further development of their analytical skills.