units

BEX6100

Faculty of Business and Economics

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.

0 points, SCA Band 3, 0.000 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

Coordinator(s)

Dr Mehdi Khedmati

Offered

Caulfield

  • Term 4 2016 (On-campus block of classes)

Malaysia

  • Term 4 2016 (On-campus block of classes)

Synopsis

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.

Outcomes

The learning goals associated with this unit are to:

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

Assessment

Within semester assessment: 100%

Workload requirements

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

See also Unit timetable information

Chief examiner(s)

Co-requisites

BEX6300 and students must be enrolled in the 0029 Doctor of Philosophy or 3194 Master of Philosophy before undertaking this unit.

Prohibitions

DBA6000