Statistics II

This course focuses on multivariate statistical methods. It starts with a (brief) review of ordinary least squares regression (OLS), and then quickly progresses to more advanced regression methods for categorical and longitudinal data. In the first half of the course, particular attention is paid to logistic regression techniques. Students are expected to become familiar with the basic principles of logistic regression (interpretation of odds ratios, maximum-likelihood method, and goodness of fit statistics). The second part of the course will deal with longitudinal data, which is considered as a data structure that allows for improved causal modeling. Fixed effects modeling will be addressed here in particular. As this is an applied course, students are expected to conduct their own statistical analysis with micro-level data. The data for this course come from the International Social Survey Programme (ISSP), and the Survey of Health, Aging and Retirement (SHARE).

Students interested in this course should have some background in statistics (usually obtained by attending the course "Statistics I") and should be familiar with a statistical software (like SPSS or STATA). This course seeks to convey statistical techniques which are commonly used in the political sciences. Students are welcome who like to answer empirical research questions, work with data and seek to get a firm background in applied empirical analyses.