ETC3500 - Survey data analysis - 2018

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Chief examiner(s)

Professor Peter Danaher


Professor Peter Danaher

Unit guides



  • First semester 2018 (On-campus)


ETC2410, ETC2500, ETC3440, MKC2500 or equivalent.


MKC3500, ETF3500, MKF3500Not offered in 2018, ETC4350


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.


The learning goals associated with this unit are to:

  1. state clearly the research problem and associated research questions
  2. design comprehensive survey instruments
  3. demonstrate a logical argument in hypotheses development, analysis and data interpretation on the basis of scientific reasoning
  4. have a knowledge and understanding of relevant quantitative techniques used in marketing research
  5. communicate and present research findings in oral and written form with clarity and conciseness.


Within semester assessment: 50% + Examination: 50%

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