You are here

Resources to help you teach online

See our resources page for information, support and best practices.

Due to the current restrictions in place, our inspection copy policy has changed. Please refer to our updated inspection copy policy for details.

Applied Statistics Using R

Applied Statistics Using R
A Guide for the Social Sciences

Additional resources:

November 2021 | 472 pages | SAGE Publications Ltd

If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data.

Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research.

It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers.

The book:

  • Shows you how to use R packages and apply functions, adjusting them to suit different datasets.
  • Gives you the tools to try new statistical techniques and empowers you to become confident using them.
  • Encourages you to learn by doing when running and adapting the authors’ own code.
  • Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect.
Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.
Chapter 1: Introduction to R
Chapter 2: Importing and working with data in R
Chapter 3: How does R work?
Chapter 4: Data management
Chapter 5: Data visualisation with ggplot2
Chapter 6: Descriptive statistics
Chapter 7: Simple (bivariate) regression
Chapter 8: Multiple linear regression
Chapter 9: Dummy-variable regression
Chapter 10: Moderation/interaction analysis using regression
Chapter 11: Logistic regression
Chapter 12: Multilevel and longitudinal analysis
Chapter 13: Factor analysis
Chapter 14: Structural equation modelling
Chapter 15: Bayesian statistics


Click for Online Resources

Instructor Resources (Log-in needed)

  • PowerPoint slides featuring figures and tables from the book
  • Case studies of applied statistics research with accompanying critical thinking questions
  • test bank of multiple-choice questions for each chapter 
  • Suggestions for further reading

Student Resources (Free to access)

  • Downloadable R files with example code from the book
  • Links to the datasets used in the book
  • Weblinks to video lectures for more detail and support on topics

This book is the best I’ve seen for R, both in its clarity and coverage of topics. Practically oriented, with a profusion of examples and an engaging narrative, it is a must-have for all those studying applied social sciences.

Sergio Venturini
Associate Professor of Statistics, Department of Management, Università degli Studi di Torino

For instructors

Please select a format:

Select a Purchasing Option

ISBN: 9781526476227

ISBN: 9781526476234