Name: A Step-By-Step Guide to Applying the Rasch Model Using r: A Manual for the Social Sciences (Quantitative Methodology Series) (en Inglés)
SKU: 63492515
Price: 148.95 USD
Availability: InStock
Author: Iasonas Lamprianou
ISBN: 9781032619446

portada A Step-By-Step Guide to Applying the Rasch Model Using r: A Manual for the Social Sciences (Quantitative Methodology Series) (en Inglés)

A Step-By-Step Guide to Applying the Rasch Model Using r: A Manual for the Social Sciences (Quantitative Methodology Series) (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Iasonas Lamprianou

Idioma

Inglés

N° páginas

292

Encuadernación

Tapa Dura

ISBN13

9781032619446

N° edición

A Step-By-Step Guide to Applying the Rasch Model Using r: A Manual for the Social Sciences (Quantitative Methodology Series) (en Inglés)

Iasonas Lamprianou (Autor) · Routledge · Tapa Dura

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Reseña del libro "A Step-By-Step Guide to Applying the Rasch Model Using r: A Manual for the Social Sciences (Quantitative Methodology Series) (en Inglés)"

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.