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

Iasonas Lamprianou
€69.99
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advanced Rasch modeling in R
Author_Iasonas Lamprianou
BlueSky Statistics
Category=GPS
Category=JMBT
Category=JNDH
Category=JNT
datasets
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
estimation problems
generalized linear models
measurement invariance
online hate speech detection
partial credit
partial credit modeling
political activism
political engagement survey
psychometric models
R
R commander plug in
R package
rasch analysis
rasch model
rating scale
rating scale analysis
research methods
simple model
social sciences
statistical toolbox

Product details

  • ISBN 9781032619408
  • Weight: 580g
  • Dimensions: 174 x 246mm
  • Publication Date: 17 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.
About Iasonas Lamprianou

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.

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