- Code SOCR8002
- 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 Anthropology, Population Studies, Sociology, Demography, Epidemiology
- Academic career PGRD
- Dr Nicholas Biddle
- Mode of delivery In Person
Second Semester 2018
See Future Offerings
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:Upon successful completion of this course, 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
- Use statistical software such as Stata to conduct a range of multivariate statistical techniques
Indicative AssessmentOnline quiz (x3) (15% each, total 45%), LO 2-4.
Presentation on poster project (5 minutes for presentation and 5 minutes question time) (15%), LO 1-4
Research Poster Assignment (40%), LO 1-4
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Workload130 hours of total student learning time made up from:
a) 36 hours of contact: 12 hours of lectures and 24 hours of computer lab.
b) 94 hours of independent student research, reading and writing
Prescribed TextsLecture notes will be supplied in class. There is no set text. Students are expected to consult external texts and readings where necessary for assessment.
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
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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|
|8670||23 Jul 2018||30 Jul 2018||31 Aug 2018||26 Oct 2018||In Person||N/A|