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Unit of study_
SSPS6001: Quantitative Methods in Social Sciences
2027 unit information
Quantitative methods are widely used in the social sciences. This unit focuses on the analysis of quantitative data using univariate statistics, graphs and charts, linear regression models, and logistic regression models. Real-world data are used to teach quantitative methods in a hands-on environment. The unit takes an accelerated approach, but it assumes no prior knowledge of statistics. A computer lab component gives students practical experience with statistical software.
Unit details and rules
Managing faculty or University school:
Arts and Social Sciences
| Study level | Postgraduate |
|---|---|
| Academic unit | Sociology and Criminology |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Obtain a general grounding in the basic principles of quantitative research in the social sciences.
- LO2. Achieve competence in the graphical and tabular presentation of quantitative social science data.
- LO3. Achieve competence in analyzing social science data using linear statistical models.
- LO4. Achieve confidence in reading and evaluating statistical claims made in published social science results.
- LO5. Become familiar with basic principles of statistical programming.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2027
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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