Rasch Measurement Theory Analysis in R

Rasch Measurement Theory Analysis in R (Chapman & Hall/CRC The R Series)
Author: Stefanie Wind and Cheng Hua
Publisher Finelybook 出版社:Chapman & Hall (June 3, 2022)
Language 语言:English
pages 页数:316 pages
ISBN-10 书号:1032005602
ISBN-13 书号:9781032005607

Book Description
Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-Author:-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.


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.


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