Rasch Measurement Theory Analysis in R (Kobo eBook)

Rasch Measurement Theory Analysis in R By Stefanie Wind, Cheng Hua Cover Image
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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.

Product Details
ISBN-13: 9781000587760
Publisher: Chapman and Hall/CRC
Publication Date: June 6th, 2022
Language: