Course objectives:
The course is an introduction to empirical research methods in political and social sciences. In particular, the course will focus on quantitative data analysis and adopt a “how to do” approach, combining theoretical lectures with practical exercises. The course represents an opportunity for students to develop skills in data analysis, and interpretation and presentation of research findings, including standards for written research papers.
The course will be split in two main sections. The first part of the course will focus on the basics of quantitative methods, revising topics such as data collection, measurement, research design, statistical inference, and univariate, bivariate and multivariate data analysis. The second part will concentrate on advanced techniques of data analysis (including panel data analysis, sequence analysis, and factor analysis) and on how to present and report the results of quantitative analyses.
Regular classes will be organized in theoretical lectures followed by laboratory sessions. Approximately one third of the time will be devoted to lectures, and two third of the time will consist of laboratory sessions where students can implement data analysis using R, one of the most widely used statistical software in social sciences.
Through lectures, readings, and lab-sessions, students are expected to learn how to address empirical issues in political and social sciences, as well as how to tackle the main methodological problems researchers might encounter in quantitative empirical research. Furthermore, students are expected to develop intermediate skills in the use of R statistical software.