Module overview:

Reproducibility is a corner-stone of any scientific enquiry. This module will introduce you to the idea of reproducibility and provide hands-on guidance on how to achieve reproducible results in quantitative political analysis through the software R.

The module is divided into four parts, the first of which covers the idea and principles of conducting reproducible research. From the second part onwards, we will follow the timeline of a real-word research project, and begin by exploring various techniques for data management. In the third part we will explore how to conduct and interpret one of the most frequently used methods in political science: logistic regression. The final part of the module is reserved for the professional presentation of results, both in the form of tables and beautiful-looking graphs.

Module aims:

• Familiarise students with the software R
• Introduce students to the importance of reproducibility in quantitative political science
• Apply the concept of reproducibility to data analysis and management in R
• Develop data management skills in R
• Introduce students to the method of logistic regression
• Enable students to produce professional graphs and tables
• Introduce students to R Markdown