Quantitative Methods

Course goals

• Students can recognize the theoretical backgrounds of a series of quantitative techniques.
• Students will be able to identify quantitative techniques that allow them to do quantitative data analysis.
• Students can select and apply advanced quantitative methods as part of a study design, with the broader aim of answering a specific research question.
• Students can critically reflect on quantitative findings in scientific writing
   

Content

The course will consist of a series of lectures on specific techniques, followed a few days later by a computer practical where the techniques are practiced on a given data set. The techniques addressed in this course include:

• Linear regression model
• Data visualization
• Spatial regression
• Random utility and discrete choice models
• Factor analysis and SEM
• Multilevel regression
• Network analysis