This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables.

Although the focus is on simple R code, the book provides updated guidance through the point-and-click menus of BlueSky Statistics software.

The book covers all Rasch models frequently used in social sciences, from the Simple Rasch model to the Rating Scale, Partial Credit, and Many-Facets Rasch models.

Using a pragmatic approach to model-data fit, this book offers helpful practical examples to investigate Rasch model assumptions. In addition to traditional Rasch model approaches, it introduces the Rasch model as a special case of a Generalized Mixed Effects Model. Readers will also benefit from the online support material which includes all the code used in the book in downloadable and useable files.

It also provides a comprehensive guide to R programming and practical guidance on using BlueSky Statistics software''s point-and-click menus.

This dual approach enables readers to experiment with data analysis using the provided data sets, enhancing their understanding and application of statistical concepts. It will be a valuable resource for both students and researchers who want to use Rasch models in their research.



Format Häftad Omfång 292 sidor Språk Engelska Förlag Taylor & Francis Ltd Utgivningsdatum 2024-12-17 ISBN 9781032619408