- Code POLS8058
- Unit Value 6 units
- Offered by School of Politics and International Relations
- ANU College ANU College of Arts and Social Sciences
- Course subject Political Science
- Areas of interest International Relations, Policy Studies, Political Sciences
- Academic career PGRD
- Dr Svitlana Chernykh
- Mode of delivery In Person
Second Semester 2020
See Future Offerings
This course introduces students to advanced methodological debates and research design in political science. Students will learn research skills to interpret and explain political processes, learning from scholarly literature on case selection and research methodologies and from research papers where various methodologies are applied. They will apply these skills to design their own research projects and present their research design papers at the end of the course.
Upon successful completion, students will have the knowledge and skills to:
- develop research questions and puzzles;
- define and measure political science concepts;
- critically analyse political arguments;
- evaluate advantages and disadvantages of different methodological approaches and identify threats to valid causal inference; and
- design research strategies for case and method selection to answer research questions.
- Concepts and Measurement Assignment 1,000 words (15) [LO 2]
- Causal Analysis Assignment 1,500 words (20) [LO 3,4]
- Research Design Presentation, 10 minutes (15) [LO 1,2,3,4,5]
- Research Design Paper 5,500 words (40) [LO 1,2,3,4,5]
- Class Participation (10) [LO 1,2,3,4,5]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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130 hours of total student learning time made up from:
a) 24 hours of seminars over 12 weeks
b) 106 hours of independent student research, reading and writing
Pearl, Judea and Dana Mackenzie. 2018. The Book of Why: The New Science of Cause and Effect. New York: Basic Book
King, Gary, Robert Keohane, and Sydney Verba. 1994. Designing Social Inquiry. Princeton University Press
Freedman, David. 2009. Statistical Models and Causal Inference: A Dialog with Social Sciences. Cambridge University Press.
Angrist, David Joshua and Jorn-Steffen Pischke. 2014. Mastering Metrics: The Path from Cause to Effect. Princeton University Press.
Achen, Christopher H. 2002. “Toward a New Political Methodology: Microfoundations and ART.” Annual Review of Political Science 5: 423–450.
Brady, Henry, and David Collier. Eds. 2010. Rethinking Social Inquiry: Diverse Tools, Shared Standards. 2nd ed. Lanham, Md: Rowman and Littlefield.
Elkins, Zachary. 2000. “Gradations of Democracy? Empirical Tests of Alternative Conceptualizations.” American Journal of Political Science 44(2): 293–300.
Box-Steffensmeier, Janet, Henry E. Brady, and David Collier, eds., Oxford Handbook of Political Methodology. Oxford: Oxford University Press.
Goertz, Gary. 2006. Social Science Concepts: A User’s Guide. Princeton: Princeton University Press.
Holland, Paul W. 1986. “Statistics and Causal Inference,” Journal of the American Statistical Association 81(396): 945–960.
Lieberman, Evan (2005). “Nested Analysis as a Mixed-Method Strategy for Comparative Research,” American Political Science Review 99(3): 435–452.
Geddes, Barbara. 2003. Paradigm and Sand Castles: Theory Building and Research Design in Comparative Politics. University of Michigan Press
Fearon, James. 1991. “Counterfactuals and Hypothesis Testing in Political Science,” World Politics 43 (2): 169-195
Dunning, Thad. 2012. “Natural Experiments in the Social Sciences: A Design-Based Approach. New York: Cambridge University Press. Pp. 208–232.
Mahoney, James, and Gary Goertz. 2006. “A Tale of Two Cultures: Contrasting Quantitative and Qualitative Research,” Political Analysis 14(3): 227–249.
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- Student Contribution Band:
- Unit value:
- 6 units
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.