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:
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 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
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%) - 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
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
Students 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
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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2018 | $3660 |
- International fee paying students
| Year | Fee |
|---|---|
| 2018 | $5160 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Winter Session
| 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 |
