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Rasch Measurement Theory Analysis in R (Chapman & Hall/CRC The R Series) by Cheng Hua, Stefanie A. Wind is a nonfiction available to read on EtoBox.

What is Rasch Measurement Theory Analysis in R (Chapman & Hall/CRC The R Series) about?

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 programmingReproducible data analysis examples that can be modified to accommodate users’ own dataAccompanying e-book website with links to additional resources and R code updates as neededFeatures 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, Pa

Who reads Rasch Measurement Theory Analysis in R (Chapman & Hall/CRC The R Series)?

Author

Cheng Hua, Stefanie A. Wind

Publisher

Taylor & Francis Group; Chapman and Hall/CRC

Published

2022

Language

EN

ISBN

9781000587715

Category

nonfiction

Subjects

Science, Mathematics, Psychology