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Department of Political and Social Change · ANU College of Asia and the Pacific
This is the second course in the quantitative sequence of research methods in politics. It reinforces students’ understanding of linear and non-linear regression analysis. Although the course will cover the goals and mathematical assumptions behind statistical techniques, the emphasis will be on skills for analysing data and interpreting results. in particular, students will gain first-hand experience of analysing survey data. Data will be drawn from a range of domestic and international examples in political science and related social science disciplines. Students also develop basic ideas about how to use survey experiments to study political preferences and behaviours. On completion of the course students will have a set of skills that can be applied to an array of academic research and policy evaluation problems. Course topics covered: - Causal Inference and Counterfactuals - Linear Regression I - Linear Regression II - Logistic Regression I - Logistic Regression II - Nonparametric Regression - Matching and Weighting - Survey Design - Analysing Survey Data - Missing Data and Imputation Methods - Introduction to Survey Experiment - Data Visualization
Statistical analysis assignments
Learning outcomes 2, 3, 4
In-class exams
Learning outcomes 1, 2, 3
Final replication project
Learning outcomes 2, 3, 4, 5
12 x 2 hour lectures; 12 x 1 hour labs; 4 x 1.5 hour in-class exams; 12 x 7 hours of assessment preparation, reading, and final assessment preparation.
Imai, Kosuke. Quantitative social science: An introduction. Princeton University Press, 2018. Preliminary Reading Imai, Kosuke. Quantitative social science: An introduction. Princeton University Press, 2018. Wooldridge, Jeffrey M. Introductory econometrics: A modern approach. Nelson Education, 2016. Angrist, Joshua D., and Jörn-Steffen Pischke. Mostly harmless econometrics: An empiricist's companion. Princeton university press, 2008.