aims to obtaina representative sample of the overall population by dividing them using variables such as age and gender
Quota sampling
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ensures every member of the population has an equal chance of selection
Random sampling
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entire population is divided into groups before a random sample of these is collected e.g. geographically
Cluster sampling
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population is divided into sub-populations and we expect the amount of intrest to vary between groups. samples are therefore taken from each sub-population
Stratified sampling
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an advantage of cluster sampling is that
it is quick and easy
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a disadvantage of random sampling is that
you need a complete and accurate population listing
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a strength of quota sampling is that
it is quick and easy
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using stratified sampling over random sampling
can increase accuracy
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Other cards in this set
Card 2
Front
ensures every member of the population has an equal chance of selection
Back
Random sampling
Card 3
Front
entire population is divided into groups before a random sample of these is collected e.g. geographically
Back
Card 4
Front
population is divided into sub-populations and we expect the amount of intrest to vary between groups. samples are therefore taken from each sub-population
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