Stage 1 Define the population of interest
Stage 2 Choose the data collection method
Stage 3 Choose the sampling frame
Stage 4 Select a sampling method
Stage 5 Determine the sample size
Stage 6 Develop operational procedure for selecting sample
elements
Stage 7 Execute the sampling plan
Sampling errors
There are a number of sampling and non-sampling errors. Sampling errors result when the sample selected is not perfectly representative of the population. This can be an administrative error, or a naturally occuring random error.
There are four probability sampling methods:
- Simple random sampling
- Systematic sampling
- Stratified sampling
- Cluster sampling
Non-probability sampling
- Convenience sampling
- Judgement sampling
- Quota sampling
- Snowball sampling
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