Applying the Rasch Model in Social Sciences Using R (Hardcover)

This unique text provides a step-by-step beginner's guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely available and user-friendly package, BlueSky Statistics, Lamprianou offers a range of options for presenting results, critically examines the strengths and weaknesses of applying the Rasch model in each instance, and suggests more effective methodologies where applicable. With a focus on simple software code which does not assume extensive mathematical knowledge, the reader is initially introduced to the so-called simple Rasch Model to construct a "political activism" variable out of a group of dichotomously scored questions. In subsequent chapters, the book covers everything from the Rating Scale to the Many-facets Rasch model. The final chapter even showcases a complete mock manuscript, demonstrating how a Rasch-based paper on the identification of online hate speech should look like. Combining theoretical rigor and real-world examples with empirical datasets from published papers, this book is essential reading for students and researchers alike who aspire to use Rasch models in their research.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Series:	Quantitative Methodology Series
Release date:	December 2019
First published:	2020
Authors:	Iasonas Lamprianou
Dimensions:	229 x 178mm (L x W)
Format:	Hardcover
Pages:	274
ISBN-13:	978-1-138-50077-8
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Education > Teaching skills & techniques Books > Social sciences > Psychology > Philosophy & theory of psychology > General Books > Social sciences > Psychology > Psychological methodology > Psychological testing & measurement Books > Social sciences > Education > Organization & management of education > Examinations & assessment
LSN:	1-138-50077-1
Barcode:	9781138500778

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