|Year of offer||2019|
|Subject level||Graduate coursework|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
This subject provides an introduction to quantitative data analysis for the social sciences, focusing on the data and techniques commonly used in analysis of cities. It develops understanding and skill in the use of the collection, interpretation, analysis, and representation of information.
The subject is presented in two parts. Part 1 introduces common demographic and economic data available from secondary sources, including Census data. Students learn the fundamentals of data analysis, including how to define units of analysis, develop appropriate quasi-experimental designs, and construct reliable and valid indicators. Students also learn techniques for analysing and interpreting population data, as well as population forecasting techniques.
Part 2 provides an introduction to basic statistical analysis of small-sample and large-sample data. Topics include descriptive statistics, confidence intervals and power, hypothesis testing, measures of association, and an introduction to regression techniques
- This subject aims to develop the following general skills: 1) A working knowledge of some of the secondary data available for planning and social science analysis 2) Basic tools of demographic and economic analysis using secondary data 3) A foundation in understanding statistical techniques, and their application to social science problems 4) Ability to write about and present findings of these analyses 5) Written, verbal and graphic communication of data and findings 6) Identification of key social and spatial issues
Eligibility and requirements
|Code||Name||Teaching period||Credit Points|
Core participation requirements
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
- Short written group assessment, 500 words per student (=2,000 words per submission), due week 3, 10%;
- Community profile (group work, 4 students per group), equivalent to 1000 words per student, due week 7, 20%;
- Presentation of Community Profile (group work), 500 words (5 minutes) per student (=2,000 words per assessment), weeks 6-7, 10%;
- Group work peer and self-assessments, weeks 6-7, 10%;
- 3 homework assignments on statistical analysis (15%, 400 words; 15%, 400 words; 20%, 700 words), due week 9, 11, and 12.
Dates & times
- Semester 2
Principal coordinator Jennifer Day Mode of delivery On Campus — Parkville Contact hours Total time commitment 170 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019
Semester 2 contact information
Subject Coordinator: Jenny Day
Joseph Healey. Statistics: A Tool for Social Research (10th edition)
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.