All members of the group that we're interested in.
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Sample
Selected Members of target population used to study that population.
2 of 10
Sampling Bias
Over/Under representation of on category.
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Random Sampling
Use a computer-based number generator/draw from a hat. It's the best way to achieve an unbiased sample, as everyone has an equal chance of being selected.
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Stratified sampling
Pre-select groups in the population that are relevant then select each group to proportionally represent the group.
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Quota Sampling
The sample remains up to the discretion of the researcher, this sample is stratified.
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Cluster Sampling
Naturally occurring groups/clusters within a population. An example is when studying religion we may find clusters of Muslims/Christians.
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Self-Selecting samples
Participants that have volunteered.
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Opportunity/Convenience samples.
People asked because they just happen to be there at the time.
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Snowball samples
Participants asks other participants for the researcher. This is often used in qualitative studies requiring in-depth information that may be difficult to come by.
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Other cards in this set
Card 2
Front
Selected Members of target population used to study that population.
Back
Sample
Card 3
Front
Over/Under representation of on category.
Back
Card 4
Front
Use a computer-based number generator/draw from a hat. It's the best way to achieve an unbiased sample, as everyone has an equal chance of being selected.
Back
Card 5
Front
Pre-select groups in the population that are relevant then select each group to proportionally represent the group.
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