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Subject details

  • Topics
    • 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.
  • Study resources
    • Instructional Methods
      • Disscusion forum/Discussion Board
      • Online Quizzes/Tests
      • Online assignment submission
      • Web links
    • Print Materials
      • Welcome letter
    • Online Materials
      • Printable format materials

After successfully completing this subject, you will be able to:

  1. Choose a suitable sampling frame for a study
  2. Compare the basic probability sampling methods including, simple random sampling, systematic sampling, stratified sampling and cluster sampling
  3. Estimate population parameters from complex samples using appropriate software
  4. Evaluate the effect of small populations in the calculation of confidence intervals
  5. Estimate sample sizes for complex designs
  6. Appraise the effects of non-response bias
  7. Construct population weightings for sampled data.
  • Assignment 1 - Quizzes — Online (10%)
  • Assignment 2 - Invigilated Exam (50%)
  • Assignment 3 - Assignments — 2 (40%)

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a subject

Entry Requirements

Equivalent Subjects

You cannot enrol in this unit 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:

Special requirements

No special requirements

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.

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