MKF5500

Survey data analysis ( 6 points, SCA Band 2, 0.125 EFTSL)

Leader: Associate Professor Felix Mavondo

Offered:
Caulfield Second semester 2005 (Day)

Synopsis: This unit adopts a very practical approach to introducing multivirate 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 Multivirate 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.

Objectives: On successful completion of this unit students will have developed skills required to: Understand the role that multivirate statistical techniques can play in uncovering relationship and patterns in survey data; Be aware of strengths and limitations of these techniques; Apply the appropriate statistical techniques; Understand the use of such techniques from a user and provider perspective; Report the results of the analysis so that decision making can be implemented.

Assessment: Assignment(s): 50% + Examination (2 hours): 50%

Contact Hours: 3 Hours class contact or equivalent per week

Prerequisites: ETX2121, ETX2111 or MBA9007

Prohibitions: ETC3500, ETF3500, MKC3500, MKF3500