• Offered by Research School of Management
  • ANU College ANU College of Business and Economics
  • Course subject Management
  • Academic career PGRD
  • Course convener
    • Prof Israr Qureshi
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2018
    See Future Offerings

The overarching goal of this course is to expose honours, MPhil and PhD students to a variety of empirical methods and data analytic tools to enable them to undertake high quality management research. This includes developing and validating survey measures, understanding and applying basic experimental methodologies, analyzing, interpreting, and writing-up quantitative data. It will also provide students a solid grounding in the use statistical software packages such as SPSS and AMOS as well as key issues and principles involving the linkage between theory and measurement. In sum, the course covers the designs and analyses that are commonly used in marketing, organizational behavior, human resource management and industrial/organizational psychology disciplines. It will emphasise appropriate data collection procedures, data analysis tools and communicating findings effectively, with the course taking the perspective of a management or behavioural researcher.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of the requirements for this course, students will be able to:
  • Demonstrate a critical understanding of empirical research methods and how they relate to the organizational sciences;
  • Explain the linkage between theory and measurement;
  • Develop and validate survey measures;
  • Design and implement experiments;
  • Evaluate different types of research questions and choose the most appropriate data analytic tool for a research question; and
  • Interpret quantitative outputs and produce a research report.

Indicative Assessment

1. Student presentation (20%) (LO 1, 2)
2. Class participation and class discussion of research papers (20%) (LO 1, 2, 5)
3. In-class exercises on data analysis and interpretation (20%, LO 5, 6)
4. Empirical research paper (40%) (LO 3,4,5, 6)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


The average student workload for this course is 10 hours per week. For on-campus students this includes time spent in scheduled classes and self-directed study time. 

Requisite and Incompatibility

To enrol in this course you must be studying a Higher Degree by Research program (9040xphd) offered by the Research School of Management. You are not able to enrol in this course if you have previously completed MGMT4019.




Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2018 $4080
International fee paying students
Year Fee
2018 $5400
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4758 19 Feb 2018 27 Feb 2018 31 Mar 2018 25 May 2018 In Person N/A

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