A Step-by-Step Guide to Applying the Rasch Model Using R: A Manual for the Social Sciences (Quantitative Methodology Series), 2nd Edition (EPUB)
- Format: EPUB
- Posted Date: 23 May 2025
- Posted By: AfkEbooks
Specification
| Published Year | 2024 |
|---|---|
| Language | English |
| Publisher | Taylor & Francis |
| Edition : | 2 |
| Format : | EPUB |
| File Size : | 5.3 |
| ISBN : | 978-1032619408, 9781040259184, 9781032619446, 9781032619545, 9781040259160 |
Description
By Iasonas Lamprianou
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.
Product Details
- Publisher : Routledge
- Publication date : December 17, 2024
- Edition : 2nd
- Language : English
- ISBN-10 : 1032619406
- ISBN-13 : 978-1032619408
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ISBN978-1032619408, 9781040259184, 9781032619446, 9781032619545, 9781040259160
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