units

MKF5500

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 3, 0.125 EFTSL

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LevelPostgraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Marketing
OfferedNot offered in 2013
Coordinator(s)Professor Felix Mavondo

Synopsis

This unit adopts a very practical approach to introducing multivariate statistical techniques that are currently popular in the analysis of business and marketing survey data. The main topics covered are: a review of statistical tools, factor analysis, structural equation modelling, cluster analysis, discriminant analysis, correspondence analysis and multivariate analysis of variance. SPSS software will be used for problem solving. The emphasis will be on understanding, interpreting and reporting results of the analysis and on the proper use of techniques. 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. provide 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 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

ETX2121, ETX2111 or MBA9007

Prohibitions