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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Iasonas Lamprianou is Associate 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.
Inhaltsangabe
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
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
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