units

ETF5500

Faculty of Business and Economics

18 September 2017 22 November 2024

print version

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.

Monash University

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

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

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Coordinator(s)

Dr Anastasios Panagiotelis

Offered

Caulfield

  • Second semester 2016 (Day)

Synopsis

Adopts a very practical approach to introducing multivariate statistical techniques currently popular in analysis 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.

Outcomes

The learning goals associated with this unit are to:

  1. demonstrate an understanding of the role that multivariate statistical techniques such as factor analysis, structural equation modelling, logistic regression, categorical data analysis, cluster analysis, multidimensional scaling and correspondence analysis play in uncovering relationships and patterns in survey data
  2. appraise the strengths and limitations of these techniques
  3. apply tools in R to generate solutions for the appropriate statistical techniques
  4. demonstrate skills in using the appropriate statistical techniques from a user and provider perspective
  5. demonstrate skills in communicating the results of the analysis so that decision making can be implemented.

Assessment

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

Chief examiner(s)

Dr Anastasios Panagiotelis

Prerequisites

Students must have passed one of the following units: ETX2121, ETF5912, ETF2121, ETF2100, ETF5910, ETX2111, MBA9007, ETF9100, MBA5907 or equivalent.

Prohibitions

ETC3500, MKC3500, ETF3500, MKF3500