A Step-by-Step Guide to Applying the Rasch Model Using R : A Manual for the Social Sciences Hardback
by Iasonas (University of Cyprus, Cyprus) Lamprianou
Part of the Quantitative Methodology Series series
Hardback
- Information
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.
Information
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Coming Soon
- Format:Hardback
- Pages:266 pages, 19 Tables, black and white; 14 Line drawings, black and white; 68 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:17/12/2024
- Category:
- ISBN:9781032619446
Information
-
Coming Soon
- Format:Hardback
- Pages:266 pages, 19 Tables, black and white; 14 Line drawings, black and white; 68 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:17/12/2024
- Category:
- ISBN:9781032619446