On this website students will find:

Lecturers can log in to access:

Downloadable R files with example code from the book enabling you to try executing and adapting the statistical operations and analyses presented in each chapter at your own pace.

Datasets used in the book help you develop your data analysis skills by applying what you’ve learned to real-world data.

Weblinks to YouTube video lectures hand-picked by Mehmet and Matthias give you more detail and support on topics, from getting started with R and RStudio to Bayesian multilevel modelling.

Just click on the links to the left.

PowerPoint Decks featuring figures and tables from the book, which can be customized for use in your own lectures and presentations.

A Testbank of multiple-choice questions that can be used in class, as homework or exams.

Case Studies with critical thinking questions to use as part of a seminar or as pre-work to help students understand how statistics can be applied in real research.

Suggestions for further reading to help you consolidate and extend your students’ learning.

Log in or create an instructor account by clicking on the tab at the top.

For advice to support your studies visit the SAGE Study Skills website for videos, quizzes and tips to help with your essay and dissertation writing, presentations, literature reviews and more.

To find out more about the book, please visit the SAGE website.


This website may contain links to both internal and external websites. All links included were active at the time the website was launched. SAGE does not operate these external websites and does not necessarily endorse the views expressed within them. SAGE cannot take responsibility for the changing content or nature of linked sites, as these sites are outside of our control and subject to change without our knowledge. If you do find an inactive link to an external website, please try to locate that website by using a search engine. SAGE will endeavour to update inactive or broken links when possible.