Faculty of Business and Economics

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Monash University

Monash University Handbook 2010 Postgraduate - Unit

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

FacultyFaculty of Business and Economics
OfferedCaulfield Second semester 2010 (Day)
Coordinator(s)Dr Ann Maharaj


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%

Chief examiner(s)

Neil Diamond

Contact hours

One 2-hour lecture and one 1-hour laboratory session per week


Students must be enrolled in course codes 3816 or 3822 or must have passed ETX2121, ETX2111 or MBA9007


ETC3500, MKC3500, ETF3500, MKF3500