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Network Analysis for Rating Datasets in R: A Multi-Disciplinary Perspective

Network Analysis for Rating Datasets in R: A Multi-Disciplinary Perspective

Paperback

Series: Quantitative Methodology

General PsychologyGeneral Sociology

PREORDER - Expected ship date November 23, 2026

ISBN10: 1041011695
ISBN13: 9781041011699
Publisher: Routledge
Published: Nov 23 2026
Pages: 266
Weight: 0.99
Language: English

This is the first book to illustrate the use of Network Analysis for the analysis of rating datasets. It uses a multi-disciplinary approach to focus on the quantification and visualization of rater effects for exploration, diagnosis, reporting, decision-making, and planning.

Combining cutting-edge theories of rater effects with step-by-step practical examples using publicly available data and open-source code (R packages), this book provides an introduction to the concept of rating datasets. It uses simple language to discuss data requirements, model assumptions, and other important details, and it follows all theoretical sections with practical applications that analyze empirical data step-by-step. The book also demonstrates how the proposed methods can be integrated with more established approaches, such as Rasch models, to make the analysis of relevant data more efficient. With its accessible language and gentle introduction to graph theory and network analysis, this book is suitable for readers unfamiliar with the methodology. throughout the book, readers will become able to plan a rater-effects study, format the dataset, conduct the analysis, and report the findings. The data and code are available as supplementary online material to encourage readers to replicate the analysis and reflect on the results.

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General Psychology