Advanced Quantitative Research Methods (MGMT90199)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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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
  • Interpret and present the results of different statistical analyses using appropriate tabular and graphical displays

Generic skills

On successful completion of this subject, students should have improved the following 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
  • Analytical skills, which should be developed through the evaluation of quantitative and qualitative empirical research literature

Last updated: 4 March 2025

Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MGMT90203 Foundations in Quantitative Methods
Semester 2 (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, Cohen, J., Cohen, P., West, S.G., & Aitken, LS (2003), Applied multiple regression/correlation analysis in the behavioural sciences (Third Edition). Mahwah, N.J. Routledge;  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: 4 March 2025

Assessment

DescriptionTimingPercentage

Class participation

  • 36 hours
Throughout the semester10%

Individual assignment

  • 1500 words
Week 825%

Individual presentation

  • 10 minutes
Week 1215%

End of semester exam

  • 3 hours
During the examination period50%

Last updated: 4 March 2025

Dates & times

  • Semester 1
    Principal coordinatorDaejeong Choi
    Mode of deliveryOn Campus (Parkville)
    Contact hours
    Total time commitment170 hours
    Teaching period 3 March 2025 to 1 June 2025
    Last self-enrol date14 March 2025
    Census date31 March 2025
    Last date to withdraw without fail 9 May 2025
    Assessment period ends27 June 2025

    Semester 1 contact information

    A/Prof Daejeong Choi daejeong.choi@unimelb.edu.au 

Time commitment details

Estimated total time commitment of 170 hours per semester

What do these dates mean

Visit this webpage to find out about these key dates, including how they impact on:

  • Your tuition fees, academic transcript and statements.
  • And for Commonwealth Supported students, your:
       -  Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
     

    Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.

Last updated: 4 March 2025

Further information

  • Texts

    Prescribed texts

    TBC

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 4 March 2025