The process of selecting units from a population of interest so that by studying the sample we may fairly generalise the results back to the whole population.
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Types of Sampling
Probability (unbiased) and Non-Probability (biased)
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Population
Where you take your sample from: can be people, businesses-anything that can be researched.
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Sampling Frame
The list of the accessible population from which you take your sample. E.g. School Register for students.
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Simple Random Sampling
Theoretically Ideal: numbers allocated to each subject, picked at random (E.g. from a hat etc.)
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Stratified Sampling
Group subjects together by some kind of characteristic (a group is called a 'Strata'). Makes sure the group is well-represented. SRS is applied to each group.
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Cluster Sampling
Subjects are grouped together naturally, by location etc. (each group is called a 'Cluster'). SRS is used to select one group, and all elements of the cluster are used in the sample
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Systematic Sampling
Create a system to chose the sample, i.e. 'every other person' etc.
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Convenience Sampling
Subjects are chosen based on their convenient accessibility to the researcher- sample is made of of people who are easy to access. AKA Opportunity Sampling.
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Quota Sampling
The assembled sample has the same proportion of individuals as the total population, with respect to traits e.g. race, age, gender etc.
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Judgement Sampling
The researcher chooses subjects using their own judgement. AKA Purposive Sampling.
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Other cards in this set
Card 2
Front
Probability (unbiased) and Non-Probability (biased)
Back
Types of Sampling
Card 3
Front
Where you take your sample from: can be people, businesses-anything that can be researched.
Back
Card 4
Front
The list of the accessible population from which you take your sample. E.g. School Register for students.
Back
Card 5
Front
Theoretically Ideal: numbers allocated to each subject, picked at random (E.g. from a hat etc.)
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