Rasch Measurement Theory Analysis in R PDF
by Stefanie Wind, Cheng Hua
Part of the Chapman & Hall/CRC The R Series series
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 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, Partial Credit, and Many-Facet Rasch models, examining data for evidence of differential item functioning, and considering potential interpretations of results from such analyses.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:322 pages, 15 Tables, black and white; 87 Line drawings, black and white; 87 Illustrations, black an
- Publisher:Taylor & Francis Ltd
- Publication Date:07/06/2022
- Category:
- ISBN:9781000587715
Other Formats
- Hardback from £150.00
- Paperback / softback from £58.99
- EPUB from £53.09
Information
-
Download - Immediately Available
- Format:PDF
- Pages:322 pages, 15 Tables, black and white; 87 Line drawings, black and white; 87 Illustrations, black an
- Publisher:Taylor & Francis Ltd
- Publication Date:07/06/2022
- Category:
- ISBN:9781000587715
