Note: This is an archived Handbook entry from 2015.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2015:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||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:
144 hours per semester, including self-directed study
Study Period Commencement:
|Recommended Background Knowledge:||
A basic understanding of multivariate statistics as included in for example:
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorDr Erik Mooi
MBS @ Berkeley Street
Level 4, 198 Berkeley Street
Telephone: +61 3 8344 1670
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.
In this subject students will be able to:
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Doctor of Philosophy - Business and Economics |
Master of Commerce (Management)
Master of Commerce (Marketing)
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