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Purposive sampling example

The researcher selects 8 of the 14 units that have the characteristic the study needs.

Purposive (judgment) sampling: the researcher selects the units they judge most useful for the study. In a population of 120, 14 units have a characteristic the study needs (dark outline), and the researcher selects 8 of them. Units without the characteristic are not considered. For this illustration, seeded pseudorandom draws set which units carry the characteristic and which 8 are chosen. The key below names all three kinds of unit: population unit, has the characteristic (dark outline), and has the characteristic and selected (dark outline, filled).

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Sampling method - purposive sampling. Derek Jansen, Grad Coach, CC BY 4.0.

What it shows

In purposive sampling, also called judgment sampling, the researcher selects the units judged most useful for the study. In the diagram, 14 of the 120 units have a characteristic the study needs, and 8 of those are selected. Units without it are not considered.

For the illustration, seeded random draws set which units carry the characteristic and which 8 are chosen. In a real study the choice rests on the researcher’s stated reasoning, normally set out in the methodology chapter.

How to read it

  1. A dark outline marks a unit that has the characteristic.

  2. A dark outline with a filled center marks a unit that has it and was selected.

  3. Plain open circles are the rest of the population.

The numbers behind it

  • Population of 120 units.
  • 14 units have the characteristic; 8 of them are selected.

Ways to use it in teaching

  • Each student writes one sentence justifying their selection criteria; compare the sentences as a group.

  • Pairs well with snowball sampling in a qualitative methods session, since the two are often combined.

  • Discuss what a purposive sample is for: depth on a specific question, not generalization to a whole population.

For when each method suits a study, and how to justify the choice in a methodology chapter, see our guide to sampling methods.

Sampling methods

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