Introduction to Quantitative Research Methods (QNRM)

Course Level: 
Master’s
Campus: 
Vienna
Course Open to: 
Students on-site
Academic Year: 
2020-2021
Term: 
Fall
US Credits: 
1
ECTS Credits: 
2
Course Description: 

The aim of this course is to introduce students to the basics of quantitative social science within the field of environmental research. Students will be introduced into theoretical background and applications of basic descriptive and inferential statistics. A special focus will be put on intuitive and interactive visualizations using R. 

 

Learning Outcomes: 

At the end of the course, a successful student will be able to

  1. Understand the basics of the positivist approach to research.  
  2. Know key terminology used in quantitative social science.
  3. Know key data sources used in environmental research and data cleaning. 
  4. Know different data structures and levels of measurement. 
  5. Understand the math behind measures of central tendency and variation.
  6. Understand how to use Excel and R for generating simple descriptive statistics.
  7. Understand basics about simple graphs (also in Excel) and how to make the most of “ggplot” and “plotly”.
  8. Understand about the theory behind hypothesis testing and impress your friends by knowing what “p-value” actually means. 
  9. Know how to interpret and generate publication-ready regression tables. 
Assessment: 

Individual exercises on each topic - 40%

Final assignment - 60%

Prerequisites: 

None