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Full Description
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.
Contents
1. Introduction 2. "Have You Assaulted a Politician?" Measuring Political Engagement Using the Simple Rasch Model 3. Expectations and Residuals 4. "All We Need Is Love (and Money)!" An Introduction to the Rating Scale Rasch Model 5. Relaxing the Common Scale: The Partial Credit Model 6. Observations or Subjective Interpretations? A Many-facets Rasch Model 7. The Rasch Model as a Generalized Linear Mixed Model 8. Publishing a Paper: Detection of Online Hate Speech
