• Offered by ANU Centre for Social Research Methods
  • ANU College ANU College of Arts and Social Sciences
  • Classification Research
  • Course subject Social Research
  • Areas of interest Anthropology, Population Studies, Sociology, Demography, Epidemiology
  • Academic career PGRD
  • Course convener
    • Dr Nicholas Biddle
  • Mode of delivery In Person
  • Offered in Second Semester 2021
    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:

  1. construct a research question using theory and data;
  2. justify the use of a particular technique;
  3. present and interpret statistical research results; amd
  4. use statistical software such as Stata to conduct a range of multivariate statistical techniques.

Indicative Assessment

  1. Online quiz (x3) (15% each, total 45%) (45) [LO 2,3,4]
  2. Presentation on poster project (5 minutes for presentation and 5 minutes question time) (15) [LO 1,2,3,4]
  3. Research Poster Assignment (40) [LO 1,2,3,4]

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: 12 hours of lectures and 24 hours of computer lab.
b) 94 hours of independent student research, reading and writing

Inherent Requirements

Not applicable

Requisite and Incompatibility

You are not able to enrol in this course if you have previously completed SOCR4002

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.

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
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
5683 26 Jul 2021 02 Aug 2021 31 Aug 2021 29 Oct 2021 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions