- Code SOCR4002
- Unit Value 6 units
- Offered by ANU Centre for Social Research Methods
- ANU College ANU College of Arts and Social Sciences
- Course subject Social Research
- Areas of interest Sociology, Criminology
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.
Upon successful completion, students will have the knowledge and skills to:
- construct a research question using theory and data;
- justify the use of a particular technique;
- present and interpret statistical research results; and,
- use statistical software such as Stata to conduct a range of multivariate statistical techniques.
- Online quizzes, x 3 (15% each for a total of 45%) (45) [LO 2,3,4]
- Research Poster Assignment, max poster size A0 paper or equivalent (40) [LO 1,2,3,4]
- Poster project presentation (5 mins and 5 mins question time) (15) [LO 1,2,3,4]
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Workload130 hours of total student learning time made up from:
a) 36 hours of contact over 12 weeks: 12 hours of lectures and 24 hours of computer lab.
b) 94 hours of independent student research, reading and writing
Requisite and Incompatibility
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
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