• Offered by Research School of Management
  • ANU College ANU College of Business and Economics
  • Course subject Management
  • Areas of interest Business Information Systems, International Business, Management, Marketing, Project Management

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, analysing, interpreting, and writing up quantitative data. It will also provide students with a solid grounding in the use of 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 behaviour, 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:

  1. Identify the circumstances that call for advanced quantitative research methods
  2. Discuss the formulation of the research question to be investigated
  3. Formalise hypotheses that are in line with the research question
  4. Use the appropriate method of research to collect data relevant to the hypotheses
  5. Critically evaluate the analytical strengths and limitations of the different empirical research methods
  6. Develop appropriate analytical strategies to test the specific hypothesis
  7. Use relevant software tools to implement hypothesis testing
  8. Critically interpret and discuss results of analyses through appropriate engagement with extant knowledge and theories
  9. Synthesise findings, their meanings and subsequent recommendations competently in a structured written report.

Other Information

Students with an active Education Access Plan (EAP) are encouraged to discuss support with the Course Convenor (if necessary).

Indicative Assessment

  1. Typical assessments may include, but are not restricted to: in-class exercises, written and oral assignments, quizzes, examinations, group project tasks, oral presentations, and other assessments deemed appropriate to show the attainment of the learning outcomes set for the course. Further details will be made available via the Class Summary. (100) [LO 1,2,3,4,5,6,7,8,9]
  2. Written report assessment task. Further details, including % value, will be made available via the Class Summary. (0) [LO 1,2,3,4,5,6,7,8,9]

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.

Workload

Students taking this course are expected to commit 130 hours to completing the work. For semester length offerings this will typically include 3 hours per week in class and at least 7 hours a week on average (excluding non-teaching weeks) on course reading, research, writing and assessment work.

Inherent Requirements

This course has yet to be assessed for inherent requirements.

Requisite and Incompatibility

To enrol in this course you must be: enrolled in one of the following programs: Bachelor of Business Administration (Honours) (HBUSA) Bachelor of International Business (Honours) (HINBS) Bachelor of Commerce (Honours) (HCOMM) and have successfully completed STAT1008 or MGMT2003 (or equivalent) You will need to contact the Research School of Management (enquiries.rsm@anu.edu.au) to request a permission code to enrol in this course. You are not able to enrol in this course if you have previously completed MGMT8019.

You will need to contact the Research School of Management to request a permission code to enrol in this course.

Prescribed Texts

Information about the prescribed textbook (if any) will be made available via the Class Summary.

Preliminary Reading

Information about indicative readings (if any) will be made available via the Class Summary.

Assumed Knowledge

This is an advanced qualitative research methods course. Students are expected to have foundational studies in statistical tools and methods.

Fees

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

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
34
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
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
2576 23 Feb 2026 02 Mar 2026 31 Mar 2026 29 May 2026 In Person N/A

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