• 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
  • Academic career Postgraduate
  • Mode of delivery Blended
  • Offered in Autumn Session 2017
    See Future Offerings

This course provides an introduction to the main empirical social science methods, types of data, and techniques for collecting social science data. The course will provide students with the skills to apply social science methods to the generation and analysis of data to inform policy, business and service delivery decisions.

Content will cover: overview of main social and behavioural theories (rational choice; nudge and behavioural insights; complexity theory), introduction to research design (observational designs; intervention and experimental designs and action research), techniques for collecting data (quantitative surveys; qualitative interviews; behavioural and experience methods), measurement issues, participatory approaches to research, vulnerable populations, and ethics and privacy considerations.

Learning Outcomes

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

1. Discuss in broad terms the main social and behavioural theories and their evidence base.
 
2. Specify a research question that is answerable using empirical methods.
 
3. Propose a clear research design that can provide the information required to inform policy, business and service delivery decisions.
 
4. Understand the assumptions, strengths and limitations of the main techniques for collecting data.
 
5. Comprehend the particular issues related to researching vulnerable populations.
 

Indicative Assessment

Class participation (5%) LO1-6
Assignment 1 - Critique of selected empirical research paper (1,500 words, 15%) LO1,4
Assignment 2 - Research proposal (3,500 words, 35%) LO2,3,5
Oral presentation - Empirical strategy and ethics considerations (10 minutes, 20%) LO5,6
Class test (2 hours, 25%) LO4,5
 

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: made up of face-to-face lectures, tutorials and online activities; and b) 94 hours of independent student research, reading and writing.

Requisite and Incompatibility

To enrol in this course you must be currently studying either Graduate Diploma of Applied Data Analytics (DADAN) or Master of Applied Data Analytics (MADAN).

Prescribed Texts

To be provided on the course Wattle site.

Indicative Reading List

Selected chapters from: Bryman, A. (2012). Social research methods. Oxford university press.

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:
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
2017 $3660
International fee paying students
Year Fee
2017 $4878
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Autumn Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
5640 29 May 2017 09 Jun 2017 16 Jun 2017 28 Jul 2017 In Person

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