Applications of Regression for Categorical Outcomes Using R

This book provides a comprehensive guide to statistical models for categorical outcomes using R, covering logistic, Poisson, negative binomial, ordinal, and multinomial models. It focuses on graphic displays of results, making it useful for graduate students and quantitative social scientists. The book is applied, flexible, timely, versatile, and aesthetically pleasing, with code and functions available for free.

Format: Hardback
Length: 222 pages
Publication date: 26 July 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of generalized linear models (GLM), encompassing a wide range of models such as logistic, Poisson, negative binomial, ordinal, and multinomial. It offers detailed estimations, interpretations, model fit assessments, diagnostics, and strategies for effectively communicating results through graphical representations. With a strong emphasis on graphical displays, which are a key strength of using the R programming language for statistical analysis, the book caters to the needs of social sciences students seeking to expand their statistical expertise and quantitative social scientists seeking a practical guide.

Key Features:

Applied Approach: The book provides code that can be easily adapted by others, making it practical for real-world applications.

Flexibility: R is a versatile tool that serves as a powerful calculator. The programs presented in the book enable users to derive valuable quantities that can be applied to their work.

Timely Relevance: Many social sciences researchers are currently transitioning to R or are learning it at the moment. This book offers valuable insights and resources for those seeking to leverage R's capabilities.

Versatility: The book covers a wide range of regression models and aims to develop functions that can be applied to all of them. This versatility ensures that readers can apply the learned techniques to various social science research projects.

Aesthetically Pleasing Graphical Displays: R's strength lies in its ability to customize graphs, allowing for high-end graphical representations of results. The book leverages this feature to deliver visually appealing and informative outputs.

Affordable Solution: R is free and open-source software, eliminating the need for costly site licenses or updates. Additionally, R packages are freely available, further enhancing the affordability of statistical analysis with R.

In summary, Social Science Applications of Regression for Categorical Outcomes Using R is a comprehensive and practical guide that empowers social sciences students and quantitative social scientists to effectively employ GLM models and communicate their findings through graphical representations. With its applied approach, flexibility, timely relevance, versatility, aesthetically pleasing graphical displays, and affordable solution, this book is an invaluable resource for anyone seeking to advance their statistical knowledge and apply R for social science research.

Dimension: 234 x 156 (mm)
ISBN-13: 9780367894634