Units / BEX5610
BEX5610 · Advanced quantitative research methods
2026 Handbook6 credit pointsLevel 5Faculty of Business and Economics
Last checked: 23 Aug 2026 UTCOverview
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 you with the opportunity to apply your classroom learning to various business and management cases.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Caulfield | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Written | Written | 15% | — |
| 2 | 2 - Written | Written | 30% | — |
| 3 | 3 - Written | Written | 35% | — |
| 4 | 4 - Presentation | Presentation | 20% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibitions
- BEX6100 — Advanced quantitative research methods
Learning outcomes
- 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 defence and/or critique of different methodological positions and perspectives.
Workload
36 hours per semester (split-block mode) of formal class contact.
| Activity | Duration |
|---|---|
| Seminars | 36 hours |
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