Rasch Measurement Theory Analysis in R | 4.06 MB
English | 323 Pages

Title: Rasch Measurement Theory Analysis in R
Author: Stefanie A. Wind
Year: 2022

Description:
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.

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