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School of Regulation and Global Governance · ANU College of Law, Governance and Policy
This course is an introduction to quantitative data analysis for policy and regulation. Designed to provide a foundational overview of empirical research design and to learn elementary techniques of data analysis, the course provides participants with the skills, knowledge, and confidence to commission and utilise empirical research. The course also provides an overview of a broad range of statistical techniques and their applications to answer different types of research questions. Each session will conclude with an in-class activity. These activities are designed to reinforce the course content and to give participants an opportunity to apply their new knowledge to their own research interests and engage in a peer review.
Active participation in-class (during course over the 6 weeks)
Learning outcomes 1, 2, 3
1,000 word precis on one of the Recommended or Additional readings assigned to this course (during week 2-6)
Learning outcomes 2, 3
Preparation work for Final assignment - 1,000 words working paper (during week 3)
Learning outcomes 1, 2, 3
Critical analysis of a peer-reviewed quantitative journal article related to a regulatory or governance topic (max 2,000 words including footnotes)
Learning outcomes 1, 2, 3
Students need to commit to 75 hours of total learning time made up from: a) 15 hours of contact: 2.5 hours per week x 6 weeks; and b) 61 hours of preparation, independent study, and assessment tasks. Other Information This course is targeted towards those who commission or utilise quantitative research to design, implement and analyse social policy, and achieve regulatory goals.
n/a Preliminary Reading David Spiegelhalter, The Art of Statistics: Learning From Data. Pelican, 2019. Steve Selvin, The Joy of Statistics: A Treasury of Elementary Statistical Tools and their Applications, Oxford 2019. Alan Graham, Statistics: An Introduction. Hodder Education, 2017