ETF5500 - Survey data analysis
6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL
Postgraduate Faculty of Business and Economics
Leader(s): Dr Ann Maharaj
Caulfield Second semester 2009 (Day)
Adopts a very practical approach to introducing multivariate statistical techniques currently popular in analysis of business and marketing survey data. Main topics: review of statistical tools, factor analysis, structural equation modelling, cluster analysis, discriminant analysis, correspondence analysis and multivariate analysis of variance. Use of SPSS software. Case studies and exercises will be drawn from diverse areas of the business world.
The learning goals associated with this unit are to:
- introduce exploratory factor analysis and structural equation modelling
- show how multiple regression and multivariate analysis of covariance can be used to analyse survey data
- give students exposure to logistic regression in discrete-choice modelling studies
- demonstrate the role of cluster analysis and multidimensional scaling and correspondence analysis in understanding multivariate data
- provide students an opportunity to become competent in the use of a statistical package (SPSS).
Within semester assessment: 50%
Examination (2 hours): 50%
One 2-hour lecture and one 1-hour laboratory session per week