MKF5500 - Survey data analysis

Leader: Professor Felix Mavondo

Offered

Caulfield Second semester 2007 (Day)

Synopsis

This unit adopts a very practical approach to introducing multivirate statistical techniques that are currently popular in the analysis of business and marketing survey data. The main topics covered are: A review of statistical tools, Factor analysis, Structural equation modelling, Cluster analysis, Discriminant analysis, Correspondence analysis and Multivirate analysis of variance. SPSS software will be used for problem solving. The emphasis will be on understanding, interpreting and reporting results of the analysis and on the proper use of techniques. Case studies and exercises will be drawn from diverse areas of the business world.

Objectives

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
• provide 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 an opportunity to become competent in the use of a statistical package (SPSS).

Assessment

Assignment(s): 50%
Examination (2 hours): 50%

Contact hours

3 Hours class contact or equivalent per week

Prerequisites

ETX2121, ETX2111 or MBA9007

Prohibitions

ETC3500, ETF3500, MKC3500, MKF3500