Examination procedure
<p>Assessment based on a take-home exam</p>
Syllabus
This course is meant to provide a general introduction to quantitative data analysis for social and political science research. It assumes no prior (or very basic) knowledge of statistical methods and quantitative techniques. It will combine theoretical foundations of quantitativedesigns with a practical, hands-on approach— for this purpose, the statistical software STATA shall be used. The course will start from the basics of quantitative analysis, covering key concepts and features, types of variables and datasets. After that, it will address descriptive statistics. It will then deal with the main aspects of linear regression analysis: assumptions, estimations, practical application to research questions and examples, presentation of results and interpretation. The course will conclude by giving an overview of other types of regressions that participants might need to use in their future research.