
- 222 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Applications of Regression for Categorical Outcomes Using R
About this book
This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it's ability to act as a practitioners guide.
Key Features:
-
- Applied- in the sense that we will provide code that others can easily adapt
-
- Flexible- R is basically just a fancy calculator. Our programs will enable users to derive quantities that they can use in their work
-
- Timely- many in the social sciences are currently transitioning to R or are learning it now. Our book will be a useful resource
-
- Versatile- we will write functions into an R package that can be applied to all of the regression models we will cover in the book
-
- Aesthetically pleasing- one advantage of R relative to other software packages is that graphs are fully customizable. We will leverage this feature to yield high-end graphical displays of results
-
- Affordability- R is free. R packages are free. There is no need to purchase site licenses or updates.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- List of Tables
- Acknowledgments
- 1 Introduction
- 2 Introduction to R Studio and Packages
- 3 Overview of OLS Regression and Introduction to the Generalized Linear Model
- 4 Describing Categorical Variables and Some Useful Tests of Association
- 5 Regression for Binary Outcomes
- 6 Regression for Binary Outcomes – Moderation and Squared Terms
- 7 Regression for Ordinal Outcomes
- 8 Regression for Nominal Outcomes
- 9 Regression for Count Outcomes
- 10 Additional Outcome Types
- 11 Special Topics: Comparing between Models and Missing Data
- References
- Index