MKC3500 - Survey data analysis
6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL
Undergraduate 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:
- examine exploratory factor analysis and structural equation modelling
- explain how multiple regression and multivariate analysis of covariance can be used to analyse survey data
- examine the use and importance of logistic regression in discrete-choice modelling studies
- critically analyse the role of cluster analysis and multidimensional scaling and correspondence analysis in understanding multivariate data
- apply a statistical package (SPSS) to a range of data.
Within semester assessment: 40%
Examination (2 hours): 60%
3 hours class contact or equivalent per week