• Offered by POLIS: The Centre for Social Policy Research
  • ANU College ANU College of Arts and Social Sciences
  • Classification Advanced
  • Course subject Social Research
  • Areas of interest Statistics, Demography, Criminology
  • Academic career PGRD
  • Course convener
    • Dr Markus Hahn
  • Mode of delivery In Person
  • Offered in Second Semester 2024
    See Future Offerings

This course provides students with an introduction to advanced topics in survey data analysis and will provide several important extensions: (1) dealing with sample selection bias and endogeneity bias in survey data (instrumental variable regression and Heckman selection correction); (2) using panel data to control for unobserved heterogeneity (fixed effects and random effects models); (3) modelling the time to an event (survival analysis) and (4) multi-level modelling for hierarchical or clustered data.  Students will gain experience in using the Stata statistical software package to apply these methods to survey data.

Learning Outcomes

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

  1. identify possible issues, impacts, and consequences of sample bias;
  2. describe how panel data can be used to control for unobserved heterogeneity (a potential cause of endogeneity bias in cross-sectional data) and apply to real-world data;
  3. demonstrate an ability to model the dynamics of cross-sectional populations using survival analysis; and,
  4. identify instances of hierarchical/clustered social science datasets and apply multi-level models for working with such data.

Other Information

Students who have completed the prerequisite course(s) will already have been introduced to basic multivariate statistical methods for analysing survey data. 

Indicative Assessment

  1. Tutorial exercises to be undertaken in class, each 30 minutes in duration, and each be a maximum of 400 words each (totalling 1600 words.) Tutorial exercise 1 (10%, LO 1) Tutorial exercise 2 (10%, LO 2) Tutorial exercise 3 (10%, LO 3) Tutorial exercise 4 (10%, LO 4) (40) [LO 1,2,3,4]
  2. Small data analysis project (1800 — 2000 words) (20) [LO 1,2,3,4]
  3. Take-home examination (2400 words) (40) [LO 1,2,3,4]

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The mode of delivery for this course may be either in person or intensive:
In person: 130 hours of total student learning time made up from:
a) 36 hours of contact over 12 weeks: 18 hours of lectures and 18 hours of tutorials/computer training sessions.
b) 94 hours of independent student research, reading and writing.
Intensive: 130 hours of total student learning time made up from:
a) 36 hours of lectures and tutorials taught intensively.
b) 94 hours of independent student research, reading and writing.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have completed DEMO8007/SOCR8001 and DEMO8014/SOCR8002, or with permission of the convenor. You are not able to enrol in this course if you have previously completed SOCR8007.

Prescribed Texts



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:
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.

6.00 0.12500
Domestic fee paying students
Year Fee
2024 $4440
International fee paying students
Year Fee
2024 $6360
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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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
8444 22 Jul 2024 29 Jul 2024 31 Aug 2024 25 Oct 2024 In Person View

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