- Code SOCR8010
- Unit Value 6 units
- 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, Statistics, Demography, Criminology
- Academic career PGRD
- Dr Nicholas Biddle
- Mode of delivery In Person
Winter Session 2018
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.
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:
- Identify possible issues, impacts, and consequences of sample bias.
- 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.
- Demonstrate an ability to model the dynamics of cross-sectional populations using survival analysis.
- Identify instances of hierarchical/clustered social science datasets and apply multi-level models for working with such data.
Other InformationStudents who have completed the prerequisite course(s) will already have been introduced to basic multivariate statistical methods for analysing survey data.
Indicative AssessmentTutorial 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%) - LO1
- Tutorial exercise 2 (10%) - LO2
- Tutorial exercise 3 (10%) - LO3
- Tutorial exercise 4 (10%) - LO4
Small data analysis project (20%, 1800 – 2000 words) - LO1-4
Take-home examination (40%, 2400 words) - LO1-4
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WorkloadStudents are expected to complete 130 hours of study for this course, which includes 36 hours of contact and 94 hours of independent learning. Contact hours will be delivered as either:
a) One ninety minute lecture and one ninety minute tutorial / computer training session each week (12 week offering) or
b) 36 hours of lectures and tutorials taught intensively
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- 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.
Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|6894||01 Jul 2018||20 Jul 2018||20 Jul 2018||30 Sep 2018||In Person||N/A|