Name: Rasch Measurement Theory Analysis in r (Chapman & Hall (en Inglés)
Price: 183490.00 CLP
Availability: InStock
Author: Stefanie Wind; Cheng Hua
ISBN: 9781032005607

portada Rasch Measurement Theory Analysis in r (Chapman & Hall (en Inglés)

Rasch Measurement Theory Analysis in r (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Stefanie Wind; Cheng Hua

Idioma

Inglés

N° páginas

322

Encuadernación

Tapa Dura

ISBN13

9781032005607

N° edición

Rasch Measurement Theory Analysis in r (Chapman & Hall (en Inglés)

Stefanie Wind; Cheng Hua (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "Rasch Measurement Theory Analysis in r (Chapman & Hall (en Inglés)"

Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results. Features: Accessible to users with relatively little experience with R programming Reproducible data analysis examples that can be modified to accommodate users' own data Accompanying e-book website with links to additional resources and R code updates as needed Features dichotomous and polytomous (rating scale) Rasch models that can be applied to data from a wide range of disciplines This book is designed for graduate students, researchers, and practitioners across the social, health, and behavioral sciences who have a basic familiarity with Rasch measurement theory and with R. Readers will learn how to use existing R packages to conduct a variety of analyses related to Rasch measurement theory, including evaluating data for adherence to measurement requirements, applying the dichotomous, Rating Scale, Partial Credit, and Many-Facet Rasch models, examining data for evidence of differential item functioning, and considering potential interpretations of results from such analyses.