ETC3500/MKC3500

Survey data analysis

Dr Tim Fry

6 points
* Two 1-hour lectures and one 2-hour tutorial per week
* Second semester
* Clayton
* Prerequisite: At least one of ETC2400, ETC2410, ECM2420, ETC2430, ETC2450, ETC2500

Objectives On successful completion of this subject students should have developed the skills required to understand the role that multivariate and discrete choice techniques can play in uncovering patterns in the behaviour and attitudes of individuals as recorded in survey data; be aware of the strengths and limitations of the techniques; have the skills required to apply appropriate statistical techniques and be able to understand the use of such techniques from both a user and provider perspective.

Synopsis This subject introduces multivariate statistical techniques for the analysis of survey data and models to analyse the discrete choice behaviour of individuals. Emphasis is placed on understanding the underlying assumptions required to conduct such analyses, appropriate reporting of results and the use of these techniques in informing decision makers. It provides students with the knowledge and skills required to apply appropriate techniques and report their results to a wide audience. Topics to be covered 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.

Assessment Two written assignments (computing and report): 40%
* Examination (2 hours): 60%

Recommended texts
Hair J F and others Multivariate data analysis with readings Prentice-Hall, 1995
Krzanowski W J Principles of multivariate analysis: A user's perspective OUP, 1988