Rasch Measurement Theory Analysis in R

By Stefanie Wind and Cheng Hua

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 0367776391
• ISBN13: 9780367776398
• Release Date: June 2022
• Publisher: CRC Press
• Length: 316 Pages
• Weight: 1.00 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"