Data collection - Sampling techniques
- Created by: KGR01
- Created on: 16-05-18 21:12
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Clues
- An interviewer's quota is usually specified in stratified terms (e.g. how many males/females). The choice of who is sampled is then left up to the interviewer and so is definitely non-random. (5, 8)
- Every possible sample of a given size is equally likely to be selected. (6, 6, 8)
- Individuals are chosen from a sampling frame (e.g. if you were surveying telephone subscribers you might sample the 10th name on each page of the directory). (10, 8)
- Random samples are taken from selected strata (also called clusters). (7, 8)
- Sub-groups called strata are used to identify different groups that are likely to have different voting patterns. In stratified sampling, you would ensure that a random sample is taken from every strata. (10, 8)
- When circumstances make a sample readily available (e.g. the representatives at a conference of hospital doctors are used as a sample to investigate the opinions of hospital doctors in general on a particular issue). (11, 8)
- When those involved volunteer to take part, or are given the choice to participate or decline (e.g. online surveys). (4, 9, 6)
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