Sampling for surveys
This one day course is designed to give participants a practical
understanding of the principles of sampling. Participants will
learn about the key features of random probability sampling, and
the factors that need to be considered to obtain efficient,
Course content covers:
- an introduction to the different sampling approaches with
particular reference to random probability methods
- over-sampling different sub-groups
- selecting multi-phase clustered samples
- selecting stratified samples
- the impact of variable sampling fractions, clustering and
stratification on sample efficiency.
The course will enable participants to design and select random
probability samples, considering the quality and statistical
efficiency of the samples obtained.
Who is it aimed at?
You will find the course useful if:
- you are a quantitative researcher or statistician planning to
be involved in sampling
- you need to make informed judgments about proposed sampling
- you use social survey findings and want to be able to assess
the quality of the samples obtained
- you commission or manage quantitative research in central or
local government, health or other sectors.
By the end of the course participants will be able to:
- discuss the key features of random probability sampling and its
advantages over other methods
- design an efficient sampling strategy.
- measure the impact of different sampling design features,
including variable selection probabilities, clustering and
stratification, on standard errors and confidence intervals
- select an efficient multi-stage sample.
Cost and booking
The full price of this course is £350.
We offer discounts to students, academics and those working in the
Participants will be limited to a maximum group size of 10.