units
MKC3500
Faculty of Business and Economics
This unit entry is for students who completed this unit in 2016 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.
6 points, SCA Band 2, 0.125 EFTSL
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Faculty
Organisational Unit
Coordinator(s)
Offered
- First semester 2016 (Day)
Synopsis
Introduction to multivariate statistical techniques for the analysis of survey data and models to analyse the discrete choice behaviour of individuals. Topics include multivariate analysis of variance, principal components analysis, factor analysis, correspondence analysis and models of discrete choice behaviour. Statistical software and case studies will be utilised during this subject and students will apply the techniques to a variety of practical problems.
Outcomes
The learning goals associated with this unit are to:
- examine exploratory factor analysis and structural equation modelling
- explain how multiple regression and multivariate analysis of covariance can be used to analyse survey data
- examine the use and importance of logistic regression in discrete-choice modelling studies
- critically analyse the role of cluster analysis and multidimensional scaling and correspondence analysis in understanding multivariate data
- apply a statistical package (SPSS) to a range of data.
Assessment
Within semester assessment: 40%
Examination: 60%
Workload requirements
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
See also Unit timetable information
Chief examiner(s)
Prerequisites
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