Applying the Rasch Model in Social Sciences Using R

Description

This unique text provides a step-by-step beginner’s guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely available and user-friendly package, BlueSky Statistics, Lamprianou offers a range of options for presenting results, critically examines the strengths and weaknesses of applying the Rasch model in each instance, and suggests more effective methodologies where applicable. With a focus on simple software code which does not assume extensive mathematical knowledge, the reader is initially introduced to the so-called simple Rasch Model to construct a "political activism" variable out of a group of dichotomously scored questions. In subsequent chapters, the book covers everything from the Rating Scale to the Many-facets Rasch model. The final chapter even showcases a complete mock manuscript, demonstrating how a Rasch-based paper on the identification of online hate speech should look like. Combining theoretical rigor and real-world examples with empirical datasets from published papers, this book is essential reading for students and researchers alike who aspire to use Rasch models in their research. Dedication Contents List of Figures List of Tables List of Equations List of Abbreviations Acknowledgments Preface 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 Manyfacets Rasch Model 7 The Rasch Model as a Generalized Linear Mixed Model 8 Publishing a Paper: Detection of Online Hate Speech References Index