units

ETF5500

Faculty of Business and Economics

Postgraduate - Unit

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

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LevelPostgraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedCaulfield Second semester 2013 (Day)
Coordinator(s)Dr Anastasios Panagiotelis

Synopsis

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.

Outcomes

The learning goals associated with this unit are to:

  1. introduce exploratory factor analysis and structural equation modelling
  2. show how multiple regression and multivariate analysis of covariance can be used to analyse survey data
  3. give students exposure to logistic regression in discrete-choice modelling studies
  4. demonstrate the role of cluster analysis and multidimensional scaling and correspondence analysis in understanding multivariate data
  5. provide students an opportunity to become competent in the use of a statistical package (SPSS).

Assessment

Within semester assessment: 50%
Examination: 50%

Chief examiner(s)

Contact hours

3 hours per week

Prerequisites

Students must be enrolled in course codes 4412, 3816 or 3822 or must have passed ETX2121, ETF2100, ETX2111 or MBA9007

Prohibitions