ETC4350 - Survey data analysis
6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL
Undergraduate, Postgraduate Faculty of Business and Economics
Leader(s): Dr Neil Diamond and Professor Felix Mavondo
Clayton Second semester 2009 (Day)
Introduction to multivariate statistical techniques for the analysis of survey data and models to analyse the discrete choice behaviour of individuals. Topics include multivariate analysis of variance, principal components analysis, factor analysis, correspondence analysis and models of discrete choice behaviour. Statistical software and case studies will be utilised during this subject and students will apply the techniques to a variety of practical problems.
The learning goals associated with this unit are to:
- model and forecast stationary autoregressive and moving average time series
- test for unit roots in univariate time series
- analyse the relationships between multiple, stationary time series
- test for, estimate and interpret the long run relationships between non-stationary time series.
Within semester assessment: 40%
Examination (2 hours): 60%
Two 1-hour lectures and one 2-hour tutorial per week