Applied Statistical Analysis
The course is aimed at those who want a comprehensive understanding of how statistical analysis methods can be applied, especially various regression techniques, both in the social sciences and in public and commercial analyses and reports.
This course teaches theory-based empirical analysis through statistical methods through the use of statistical data programs, Stata. Lectures and exercises are intertwined with each other as you learn about, among other things, principles of statistical inference and a number of statistical methods for example factor analysis and different forms of regression.
The course consists of two parts. In the first part, the teaching is arranged in workshops. Each workshop is concentrated around a regression technique and consists of lectures, teacher led computer lab sessions and one hand-in assignment. You will learn the most common regression techniques such as linear regression, categorical regression, multi-level regression and time series regression.
The second part of the course is focused on an independent research paper in which skills are put into practices and statistical methods are applied on a self-chosen research problem and data material.
The course is an elective quantitative research methods course in the Master's Programme in Political Science, the Programme for Master in Sociology, the Master's Programme in Criminology, the Master's Programme in European Studies, Master's Programme in International Administration and Global Governance and the Master's Programme in Political Communication.
Prerequisites and selection
To be eligible for the course the student should have obtained a pass grade for a first cycle social sciences research methods course (at least 15 credits) and have obtained 15 credits from a second cycle core course in the social sciences, or the equivalent.
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
The Department of Political Science is located in Campus Haga, which lies right in the centre of the city of Gothenburg.