• Offered by School of Demography
  • ANU College ANU College of Arts and Social Sciences
  • Course subject Social Research
  • Areas of interest Anthropology, Population Studies, Sociology, Demography, Epidemiology
  • Academic career PGRD
  • Course convener
    • Dr Edith Gray
  • Mode of delivery In Person
  • Offered in Second Semester 2016
    See Future Offerings

This course aims to equip participants with the necessary skills to analyse large survey data sets to answer research and policy questions. Students will be introduced to a number of multivariate statistical methods for analysing numeric, categorical and censored data as well as techniques for analysing event-history data. Methods covered include multinomial logistic regression, survival analysis and cox regression. Participants will learn to use a computer statistical software package such as SPSS to apply the methods to survey data and to interpret and discuss the results of their data analysis. Teaching is provided through lectures, tutorials and computer training sessions. This course will provide students with the skills necessary to undertake, or assess, complex quantitative research.

Learning Outcomes

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

By the end of this course, you should be able to

  1. Formulate a research question.
  2. Undertake multivariate statistical analysis appropriate to stated research question.
  3. Construct an argument using theory and data.
  4. Choose appropriate methods for presenting research results.
  5. Evaluate research conducted using statistical analysis.

Indicative Assessment

Poster assignment (20%); Written assignment (25%); Tutorial/Lab exercises (three) (15%); Literature summary (5%); Final exam (35%).

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.


Teaching is provided through one ninety minute lecture and one ninety minute tutorial / computer training session.

Requisite and Incompatibility

To enrol in this course you must have successfully completed SOCR8001

Prescribed Texts

Lecture notes will be supplied in class. There is no set text. Students are expected to consult external texts and readings where necessary for assessment.

Assumed Knowledge

While a pass in SOCR8001 Statistics for Social Scientists is the minimum requirement to enrol in this course, we recommend that students with less than 70% in SOCR8001 Statistics for Social Scientists seek further advice from the course convenor before enrolling.



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
2016 $3480
International fee paying students
Year Fee
2016 $4638
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.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8983 18 Jul 2016 29 Jul 2016 31 Aug 2016 28 Oct 2016 In Person N/A

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