Handbook home
Advanced Quantitative Research Methods (MGMT90199)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Email: erik.mooi@unimelb.edu.au
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
This subject is aimed at students in research graduate programs. The subject introduces students to advanced inferential techniques used in management and marketing research. Topics will include but not limited to regression models, critical assumptions, mediation and moderation, limited dependent variables, panel data, endogeneity, instrumental variable estimation. This subject will include opportunities to apply one or more of these techniques in a research project using specialised computer software called STATA.
Intended learning outcomes
In this subject students will be able to:
- understand the range of advanced quantitative research methods deployed in social and organisational research;
- competently apply advanced statistical techniques to collection, analysis of data; and
- interpret and present the results of different statistical analyses using appropriate tabular and graphical displays.
Generic skills
- Problem solving skills, which should be enhanced through the study of research design and research methods;
- Writing skills appropriate for the preparation of academic articles and research reports in Management and Marketing, including the doctoral thesis; and
- Analytical skills, which should be developed through the evaluation of quantitative and qualitative empirical research literature.
Last updated: 9 April 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MGMT90203 | Foundations in Quantitative Methods | Semester 1 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
A basic understanding of multivariate statistics as included in for example:
Sarstedt, M., & Mooi, E. (2014). A Concise Guide to Market Research (2nd ed.): Springer. Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. Upper Saddle River, NJ: Pearson.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 9 April 2024
Assessment
Additional details
- Paper presentation and critique #1 (individual, 2,000 word written report) due in week 6 (20%)
- Paper presentation and critique #2 (individual, 2,000 word written report) due in week 12 (20%)
- A take home examination at the end of semester (50%)
- Class participation (attendance and active participation in class discussions), throughout the semester (10%)
Note: Successful completion of this subject requires a pass (50%) in the final exam.
Last updated: 9 April 2024
Dates & times
- Semester 2
Principal coordinator Erik Mooi Mode of delivery On Campus (Parkville) Contact hours Classes will run every second week throughout the semester; one 3 hour lecture and one 3 hour workshop each fortnight Total time commitment 170 hours Teaching period 24 July 2017 to 22 October 2017 Last self-enrol date 4 August 2017 Census date 31 August 2017 Last date to withdraw without fail 22 September 2017 Assessment period ends 17 November 2017 Semester 2 contact information
Email: erik.mooi@unimelb.edu.au
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 9 April 2024
Further information
- Texts
Prescribed texts
TBC
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Commerce (Marketing) Course Master of Commerce (Management)
Last updated: 9 April 2024