Step-by-Step Guide to Applying the Rasch Model Using R

<p>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.</p><p>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.</p><p>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.</p>