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
Print Length 页数: 316 pages
ISBN-10: 1032005602
ISBN-13: 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.
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.
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Rasch Measurement Theory Analysis in R 9780367776398.rar
