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Non-probability sampling

Explanations > Social Research > Sampling > Non-probability sampling

Although the ideal way of sampling is by random selection of targets, as in probability sampling, the reality of research often means that this is not always possible. The opposite of probability sampling is non-probability sampling, and simply means sampling without using random selection methods.

The methods of non-probability sampling include:

Convenience sampling: Use who's available.
Purposive sampling: Selection based on purpose.
Modal instance sampling: Focus on 'typical' people.
Expert sampling: Selecting 'experts' for opinion or study.
Quota sampling: Keep going until the sample size is reached.
Proportionate quota sampling: Balance across groups by population proportion.
Non-proportionate quota sampling: Study a minimum number in each sub-group.
Snowball sampling: Get sampled people to nominate others.
Diversity sampling: Seeking variation with a wide net.
Judgment sampling: Selecting what seems like a good enough sample.

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