Sampling design

20th June 2012 to 21st June 2012

This course covers:

  • The importance of probability sample designs in terms of both practical and
  • statistical considerations
  • Stratification, oversampling, clustering and multistage sampling
  • Survey design affects on accuracy of estimation
  • Basic calculations for sample size determination
  • Weighting for differential selection probabilities as well as non-response

Expected learning outcomes

After successful completion of this module students will be able to:

  • critically evaluate the sampling methods proposed or undertaken for a given
  • survey
  • comment on the appropriate sample size needed for a particular survey
  • understand weighting, its rationale, application and implications in survey analysis
  • and reporting
  • design probability samples including stratified, boost, clustered and multi-stage
  • samples
  • choose appropriate software to estimate standard errors for complex survey
  • designs including the analysis of weighted survey data.


Participants are expected to have a basic knowledge of simple statistical concepts.

  • Comment

    "Really good balance between talking and exercises."

    Former student

    "This is a very useful course for me at work. Managed and conducted very professionally."

    Former student

    "Interesting and good course but hard work at times!"

    Former student