The aim of this course is to introduce students to advanced statistical techniques for the analysis of quantitative data that are frequently used in the literature of political science and public administration. The focus is specifically on explaining dynamic changes over time and how to account for contextual, macro-level effects on micro-level relationships. The techniques covered are aggregate and cross-sectional time series analysis and multilevel models.
Methods of instruction
Lectures, discussion, and assignments.
Luke, Douglas A. 2004. Multilevel Modeling. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-143. Thousand Oaks, CA: Sage.
Gelman, Andrew, and Jennifer Hill. 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. New York: Cambridge University Press.
Recommended (4 chapters required):
Box-Steffensmeier, Janet M., Henry E. Brady, and David Collier. 2008. The Oxford Handbook of Political Methodology. Oxford: Oxford University Press.
Additional readings (listed in course syllabus).
Assignments, research paper, and class participation.
Tuesday 29 October and 5 November, 13.00-15.00 hrs in SA29
Tuesday 12 November, 13.00-15.00 hrs in 2A36
Tuesday 19 November, 13.00-15.00 hrs in 2B36
Tuesday 26 November and 3 December, 13.00-15.00 hrs in 2A36
Tuesday 10 & 17 December, 13.00-15.00 hrs in 5A29