Statistical Modelling in R
Research Methods
Statistical Modelling in R
Research Methods
Description
An accessible introduction to statistical data analysis and modelling using the widely used programming language R. Beginning with a general introduction to the idea of statistical modelling, this book presents a range of approaches including linear regression models, models for binary, categorical and count data, and models for hierarchical and clustered data structures. It outlines various technical statistical aspects of these approaches, and their application in social science research. The final chapter is more practical and shows how readers can begin to undertake statistical modelling of their own. This book is for anyone working across the social sciences who is considering using statistical modelling in R in their own research.
Accessibility Information
Additional accessibility information
- PDF/UA-2, 1.4
- accessibility@bloomsbury.com
Hazards
The publication contains no hazards
Support for non-visual reading
Has alternative text descriptions for images
Navigation
- Page list to go to pages from the print source version
- Elements such as headings, tables, etc for structured navigation
- All or substantially all textual matter is arranged in a single logical reading order
Table of Contents
Chapter 1. Introduction
Part 1
Chapter 2. General Linear Models
Chapter 3. Modelling Binary Outcomes
Chapter 4. Modelling Multiple Categorical Outcomes
Chapter 5. Modelling Ordered Categorical Outcomes
Chapter 6. Modelling Count Outcomes
Part 2
Chapter 7. Evaluating Statistical Models (diagnostics)
Chapter 8. Extending Statistical Models
Chapter 9. Missing Data
Chapter 10. The Workflow and Transparent and Reproducible Research
Chapter 11. Practical Advice for Statistical Modelling in R
Chapter 12. Further Adventures in Statistical Modelling
References
Index
Product details
| Published | 08 Jul 2027 |
|---|---|
| Format | Ebook (PDF) |
| Edition | 1st |
| Pages | 144 |
| ISBN | 9781350139848 |
| Imprint | Bloomsbury Academic |
| Series | Bloomsbury Research Methods |
| Publisher | Bloomsbury Publishing |
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