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POLIS: The Centre for Social Policy Research · ANU College of Arts and Social Sciences
This course is designed to equip participants with the necessary skills to analyse large survey data sets to answer research and policy questions. Students will be introduced to a number of multivariate statistical methods for analysing numeric, nominal and ordinal data. Methods covered include Ordinary Least Squares regression, multinomial and ordinal logistic regression, and principal component and factor analysis. Participants will use a major computer statistical software package such as Stata to apply the methods to survey data and to interpret and discuss the results of their data analysis.
Online quizzes (x3) (15% each; total 45%)
Learning outcomes 2, 3, 4
Presentation on poster project (5 minutes for presentation; 5 minutes for questions)
Learning outcomes 1, 2, 3, 4
Research poster assignment
Learning outcomes 1, 2, 3, 4
130 hours of total student learning time made up from: a) 36 hours of contact over 12 weeks: 12 hours of lectures and 24 hours of computer lab. b) 94 hours of independent student research, reading and writing
There is no set text. Students are expected to consult external texts and readings where necessary for assessment.