Sampling

In doing social research it is often difficult or impractical to talk to every possible person of interest, though you may want to draw conclusions about this population.

here are a wide range of sampling techniques:

Probability sampling: Random selection.

Simple random sampling: Pure sample of population.
Stratified sampling: Sample from separate groups.
Systematic sampling: Use every nth person.
Cluster sampling: Focus on a few groups.

Non-probability sampling: Non random methods.

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.
Diversity sampling: Seeking variation with a wide net.
Snowball sampling: Get sampled people to nominate others.
Judgment sampling: Selecting what seems like a good enough sample.

Ethnographic data collection, in which there is:

Theoretical sampling: Decide what is next, based on what you have now.
Selective sampling: Deliberate choice of where and who to sample.

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Sampling

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Disciplines

Techniques

Principles

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Quick links

Disciplines

Techniques

Principles

Explanations

Theories

And