Faculty of Business and Economics

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Monash University

Monash University Handbook 2011 Undergraduate - Unit

6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

FacultyFaculty of Business and Economics
OfferedClayton Second semester 2011 (Day)
Coordinator(s)Dr Neil Diamond and Professor Felix Mavondo


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:

  1. examine exploratory factor analysis and structural equation modelling
  2. explain how multiple regression and multivariate analysis of covariance can be used to analyse survey data
  3. examine the use and importance of logistic regression in discrete-choice modelling studies
  4. critically analyse the role of cluster analysis and multidimensional scaling and correspondence analysis in understanding multivariate data
  5. apply a statistical package (SPSS) to a range of data.


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

Chief examiner(s)

Felix Mavondo

Contact hours

3 hours per week


At least one of ETC2400, ETC2410, ETC2430, ETC2450, ETC2500/MKC2500


ETC3500, ETC4350, ETF3500, MKF3500