Applying the Rasch Model in Social Sciences Using R

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. Les mer
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Paperback
Legg i
Vår pris: 725,-

(Paperback) Fri frakt!
Leveringstid: Usikker levering*
*Vi bestiller varen fra forlag i utlandet. Dersom varen finnes, sender vi den så snart vi får den til lager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

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.

Fakta

Innholdsfortegnelse

Chapter 1. Introduction


Chapter 2. "Have you Assaulted a Politician?" Measuring Political Engagement Using the Simple Rasch Model


Chapter 3. Expectations and Residuals


Chapter 4. "All We Need is Love (and Money)!" An Introduction to the Rating Scale Rasch Model


Chapter 5. Relaxing the Common Scale: the Partial Credit Model


Chapter 6. Observations or Subjective Interpretations? A Many-facets Rasch Model


Chapter 7. The Rasch Model as a Generalized Linear Mixed Model


Chapter 8. Publishing a Paper: Detection of Online Hate Speech


References


Index

Om forfatteren

Iasonas Lamprianou is Assistant Professor of Quantitative Methods at the University of Cyprus. He specializes in the operationalization and measurement of latent variables in the social sciences. Iasonas has a long-standing interest on the application of Rasch models on empirical data and has published widely in diverse disciplines such as education, political science, sociology and psychology.