Survey Sampling

• • Diverse approaches to sampling
  • Estimation methods for: Means, totals, proportions, ratios
  • Intra-cluster correlations
  • Bias
  • Weighting data (compare results with and without weights)
  • Simple hypothesis tests using weighting.

Equivalent subjects

You cannot enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:

• SWI-HMS786

You must have successfully completed the following subject(s) before starting this subject:

SWI-STA60005-Statistical Practice 2, or SWI-HMS771 ;

Others

Pre-Requisite: Admission to a postgraduate Applied Statistics program.

Special requirements

• OtherDetails -
  • Other special requirement

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.

• Quizzes — Online (10%)
• Invigilated Exam (50%)
• Assignments — 2 (40%)