A Step-by-Step Guide to Applying the Rasch Model Using R: A Manual for the Socia

Description: FREE SHIPPING UK WIDE A Step-by-Step Guide to Applying the Rasch Model Using R 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. FORMAT Paperback CONDITION Brand New Publisher 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 softwares 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. Author Biography 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. Table of Contents 1. Introduction 2. "Have You Assaulted a Politician?" Measuring Political Engagement Using the Simple Rasch Model 3. Expectations and Residuals 4. "All We Need Is Love (and Money)!" An Introduction to the Rating Scale Rasch Model 5. Relaxing the Common Scale: The Partial Credit Model 6. Observations or Subjective Interpretations? A Many-facets Rasch Model 7. The Rasch Model as a Generalized Linear Mixed Model 8. Publishing a Paper: Detection of Online Hate Speech Review "A fantastic introduction to the Rasch model from the novice to the experienced researcher with self-assessment questions, code, exercises and additional readings. Iasonas Lamprianou took on the challenging task of making accessible information that are not readily understood. His step by step approach builds upon prior knowledge and enables the reader to follow through more challenging concepts. Concepts and terms are made easy using a very gentle introductory approach for individuals with little background in mathematics and statistics. The available code enables the reader to easily apply each methodology and visualize results and obtain the necessary statistics. It is a must have for graduate students and researchers who plan on utilizing the Rasch model for scale development and evaluation." - Georgios Sideridis, Boston Childrens Hospital, Harvard Medical School, US"This book is an extremely useful introduction to a very important but still relatively little- known approach to carrying out quantitative research in education, psychology, economics or social sciences, to name just a few areas of study. All these fields benefit from the measurement of constructs such as language proficiency, political engagement, quality of life, extroversion, or parental support that cannot be observed directly but have to be constructed from concrete indicators. Lamprianou discusses the principles and practice of building measures with Rasch analyses in a very accessible way by walking the reader through the key concepts with the help of published studies. He encourages the readers to conduct their own analyses with the provided data samples by using the freely available software BlueSky Statistics which is based on the R platform. The book has a lot to offer to those who are involved in constructing measures across a wide range of areas of studies." - Ari Huhta, University of Jyväskylä, Finland"This is an ideal book for the beginner and the experienced researcher interested to explore or enhance their knowledge and skills on the "magic world of the Rasch models", making the transition to the R platform. The author has made an excellent work in organising the book in such a way to effectively guide the reader through simple steps from conducting a Rasch analysis to more contemporary and advanced methods such as the Generalized Linear Mixed Models. The last chapter is a real innovation: it provides a fully blown example of how to construct a manuscript for submission to a journal, using the Rasch model. Applying the Rasch model in Social Sciences using R is a well written book with real life applications that could be a great resource for anyone interested in learning and applying Rasch modelling in analysing research data." - Panagiotis Antoniou, University of Cambridge, UK"Applying the Rasch Model in Social Sciences using R and BlueSky Statistics is an intrinsically statistical book where jargon and acronyms abound. However, Iasonas Lamprianou, with his years of experience in the field and refreshing sense of humour, takes R and Rasch modelling to the next level. Even though not a primer for the general inexperienced reader, the book is carefully organised, introduces R in an accessible way and offers much inspiration through the vivid examples and breezy language. The book will make an absorbing read that offers independence but clear signposting and very many exciting venues of research based on substantial guidance and input for those who want to make the extra mile."- Dina Tsagari, OsloMet University, Norway"If you are new to Item Response Theory (IRT) and Rasch measurement, this book is an excellent introduction to how to use R (via the user-friendly platform of BlueSky) to perform statistical analyses within this framework. The book covers key concepts and resources needed to use basic and more advanced Rasch techniques to analyse data from various disciplines including education, psychology and political science. Its style is very accessible; each chapter really drives home the conceptual understanding before proceeding to the formulae, the statistical procedures and the examples. It is written in an enjoyable way and can be read through cover to cover. Moreover, I found the wealth of clear examples, the nice computer outputs, and most importantly, the intuitive explanations, an excellent educational way to preview both R and Rasch analysis. Applying the Rasch Model in Social Sciences using R and BlueSky Statistics is an essential resource for anyone wishing to begin, or expand, their learning of Rasch measurement techniques using R." - Ioannis Tsaousis, University of Crete, Greece Details ISBN1032619406 Author Iasonas Lamprianou Publisher Taylor & Francis Ltd Edition Description 2nd edition Series Quantitative Methodology Series Edition 2nd ISBN-13 9781032619408 Format Paperback Imprint Routledge Subtitle A Manual for the Social Sciences Place of Publication London Country of Publication United Kingdom Replaces 9781138500785 Alternative 9781032619446 Illustrations 19 Tables, black and white; 14 Line drawings, black and white; 68 Halftones, black and white; 82 Illustrations, black and white Audience Tertiary & Higher Education Year 2024 Publication Date 2024-12-17 UK Release Date 2024-12-17 ISBN-10 1032619406 Pages 292 We've got this At The Nile, if you're looking for it, we've got it. 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