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Survey data analysis (6 points)


Leader: Dr Ann Maharaj

Caulfield Second semester 2003 (Day)
Caulfield Second semester 2004 (Day)

Synopsis: Adopts a very practical approach to introducing multivariate statistical techniques currently popular in anlaysis 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.

Assessment: 2 Assignments (25% ea): 50%; + 2- hour Final Examination: 50%

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

Prerequisites: ETX2121 or ETX2111 or MBA9007 or permission

Prohibitions: ETC3500/MKC3500, ETF3500/MKF3500

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