Monash University Handbook 2010 Undergraduate - Unit

Synopsis

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.

Objectives

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.

Assessment

Within semester assessment: 40%
Examination (2 hours): 60%

Chief examiner(s)

Neil Diamond

Contact hours

Two 1-hour lectures and one 2-hour tutorial per week

Prerequisites

Students must have passed ECC2410, ETC2410, ETC2500, ETC3440 or MKC2500 before undertaking this unit

Prohibitions

MKC3500, ETF3500, MKF3500, ETC4350