• Offered by Centre for Aboriginal Economic Policy Research
  • ANU College ANU College of Arts and Social Sciences
  • Course subject Social Research
  • Areas of interest Social Research, Sociology, Criminology
  • Academic career UGRD
  • Course convener
    • Karuna Reddy
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2019
    See Future Offerings

This course is designed 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 use a major computer statistical software package such as Stata to apply the methods to survey data and to interpret and discuss the results of their data analysis.

Learning Outcomes

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

Upon successful completion of this course, students will have the knowledge and skills to:
  1. Construct a research question using theory and data;
  2. Justify the use of a particular technique;
  3. Present and interpret statistical research results; and,
  4. Use statistical software such as Stata to conduct a range of multivariate statistical techniques.

Indicative Assessment

Online quizzes, x 3 (15% each for a total of 45%) Learning Outcomes 2-4 Poster project presentation (5 mins and 5 mins question time) (15%) Learning Outcomes 1-4
Research Poster Assignment, max poster size A0 paper or equivalent (40%) Learning Outcomes 1-4 
  

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

130 hours of total student learning time made up from:
a) 36 hours of contact over 12 weeks: 12 hours of lectures and 24 hours of computer lab.
b) 94 hours of independent student research, reading and writing

Requisite and Incompatibility

To enrol in this course you must be studying a Bachelor of Arts Honours (HARTS or HART2), Bachelor of Criminology Honours (HCRIM), Bachelor of International Relations Honours (HIR), Bachelor of Music Honours (HMUSI), Bachelor of Political Science Honours (HPLSC), Bachelor of Policy Studies (HPOLS), Bachelor of Asian Studies Honours (HASIA), or completion of 144 units towards the Bachelor of Philosophy Honours (Arts) (APHAR or APNAR). You are not able to enrol in this course if you have previously completed SOCR8002

Specialisations

Fees

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:
2
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.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2019 $3840
International fee paying students
Year Fee
2019 $5460
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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
9442 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person View

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