Theoretical and Empirical Research Methodology
Implementation Lab
📑 The course in brief
Focus: This course is part of the module Theoretical and Empirical Research Methodology. It complements the theoretical lectures by introducing you to the statistical programming language R and acquire practical knowledge about how to implement essential research tools and all theoretical concepts discussed during the main lecture in R.
How: The implementation lab comprises a mixture of (i) lectures, in which I introduce concepts in the classroom, (ii) automated hands-on exercises for you to do at home on your own and (iii) instructional videos for topics that are best learned and practiced by yourself. Of course, you are always invited to post your questions to the course forum on Moodle and more intricate problems can be solved in class.
Prerequisites: The lab does not require you to have any prior knowledge in R or any other programming language. Depending on your prior knowledge or affinity to programming, the course will be quite demanding, but equip you with computational skills that are most valuable both within academia and the business world.
🎯 Learning Objectives
- Use R together with the integrated development environment R Studio
- Understand the use of R packages to perform specific data analytic tasks
- Write reproducible data analysis reports using Quarto
- Transform raw data into tidy data, which is suitable for further analysis
- Choose and justify the correct visualization approach, and create appealing visualizations using the R package
ggplot2 - Implement and interpret linear regression models with numerical and categorial variables
- Analyze experimental data in R