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 |
Häftad |
| Omfång |
316 sidor |
| Språk |
Engelska |
| Förlag |
Taylor & Francis Ltd |
| Utgivningsdatum |
2022-06-03 |
| ISBN |
9780367776398 |