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Survey Design and Analysis (SOCI30013)
Undergraduate level 3Points: 12.5On Campus (Parkville)
Overview
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This subject will give practical tips and hands-on experience for designing and implementing social surveys, for both academic purposes and the public/business sector. The structure of the subject will parallel the steps taken when executing a survey: comparing the advantages and disadvantages of surveys versus other means of collecting social data; determining the specific purpose of the study and to whom the study applies; developing the content and testing questions; implementing the questionnaire; and undertaking data cleaning and preliminary analysis. This will be illustrated by drawing on experiences from real life surveys. Practical, hands-on exercises will form a key part of lectures and tutorials and computer lab exercises.
Intended learning outcomes
On completion of this subject students should:
- Demonstrate the advantages and disadvantages of different methods of survey administration
- Understand the different stages of survey design and data management
- Have developed skills to use statistical software to set up an electronic data file and manipulate survey data in preparation for quantitative analysis
- Have developed skills to use statistical software to extract frequencies and simple cross-tabulations
- Communicate survey findings in the form of an empirical research report
Generic skills
- Oral communication; written communication;
- Collaborative learning; problem solving; team work;
- Statistical reasoning; application of theory to empirical practice;
- Interpretation and analysis of data; critical thinking;
Last updated: 19 September 2024