Survey the principles and methods of sampling to collect and analyse social survey data. Sample non-response, variance, survey weights and design effects. Apply multiple sampling methods and estimation techniques. Use constraint sampling survey sizes
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This subject of study gives students an understanding of the main principles and methods of sampling required to collect and analyse social survey data. In particular, it introduces students to key concepts in sampling such as a sampling frame, non-response, variance, survey weights and design effects, and how to select samples using the main probability sampling methods (simple random sampling, systematic sampling, stratified sampling and cluster sampling). Students are shown how to perform estimation techniques for the various sampling methods and how to calculate sample sizes for surveys with different constraints.
Please note: assessment values are indicative only, details will be advised at the start of the subject.