Faculty of Business and Economics

Postgraduate - Unit

This unit entry is for students who completed this unit in 2012 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.

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6 points, SCA Band 3, 0.125 EFTSL

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

FacultyFaculty of Business and Economics
OfferedSunway Research quarter 1 2012 (Day)
Sunway Research quarter 1 2012 (Evening)
Caulfield Research quarter 2 2012 (Day)
Sunway Research quarter 2 2012 (Day)
Sunway Research quarter 2 2012 (Evening)
Caulfield Research quarter 4 2012 (Day)
Coordinator(s)Professor Francis In


The unit focuses on advanced quantitative research methods used in studying accounting, business, finance, management, marketing, and organisational analysis. Topics to be covered include analytic techniques used for experimental, quasi-experimental, and non experimental research designs. The unit focuses on topics include multivariate techniques which deal with cross-sectional, panel, and time-series data. For example, topics include various multivariate ANOVA techniques, regression procedures, discrete choice models, factor analysis, cluster analysis, structural and simultaneous equation modelling, and time-series analysis techniques. Computer sessions will provide students with the opportunity to apply their classroom learning to various business and management cases.


The learning goals associated with this unit are to:

  • Develop the necessary quantitative skills to conduct high quality independent research relevant to their discipline
  • Develop a comprehensive grounding in a number of quantitative methods of data production and analysis
  • Consider and evaluate data collection instruments, sampling strategies and the appropriateness of various types of data for research purposes
  • Assess research designs including experimental design, observational studies, case studies, longitudinal analysis and cross-sectional analysis
  • Conduct quantitative data analysis of a suitable multivariate data set through a practical research activity
  • Develop good communication skills by presenting a defense and/or critique of different methodological positions and perspectives.


Within semester assessment: 100%

Chief examiner(s)

Professor Francis In

Contact hours

36 hours per semester (split-block mode) of formal class contact.

This unit applies to the following area(s) of study

Doctor of Philosophy
Master of Philosophy


0029 or 3194