BEX6100 Advanced quantitative research methods
Faculty of Business and Economics
BEX6100 Advanced quantitative research methods is a level 6, 0-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2022. It has no prerequisites.
- Credit points
- 0
- Offered in 2022
- Other periods
- Caulfield, Malaysia
- Assessment
- No exam
- 1 task
- Workload
- 36 hours
- per semester
This is the 2022 handbook entry. See the 2027 entry.
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Requisites
Before BEX6100
No prerequisites or corequisites besides the enrolment rules below.
After BEX6100
No unit lists BEX6100 as a prerequisite in the 2022 handbook.
Enrolment rules
Students must be enrolled in course 0029 or 3194.
Overview
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.
Offerings in 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Term 4 | Caulfield | Block on |
| Term 4 | Malaysia | Block on |
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able 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.
Workload and teaching
- Laboratories39 hours
- Teaching approachActive learning
36 hours per semester (split-block mode) of formal class contact.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Required resources
Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2014) Multivariate Data Analysis (7th edition). Pearson.
Contacts
- Chief Examiners
- Professor Felix Mavondo
- Professor M Niaz Asadullah
Common questions
What are the prerequisites for BEX6100?
BEX6100 has no prerequisites, but enrolment rules apply.
When is BEX6100 offered?
BEX6100 has no offerings listed in the 2022 handbook.
How much work is BEX6100?
The handbook expects about 36 hours of study across the semester. No students have rated its difficulty yet.
Does BEX6100 have an exam?
No. BEX6100 has 1 assessment task and no exam.