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sampling techniques (Cluster sampling (advantages (quick and easy,…
sampling techniques
Cluster sampling
divide the whole population in the clusters, each clusters are similar to each other, however, the units in the clusters are different to each other.
random sample is used, and all units have the same opportunity to be tested.
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convenient sampling
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disadvantages
the sample are not represented the whole population, so the result cannot speak for them
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Simply random sampling
make every people in the population has the equal chance to be selected, and populations are not divided
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Quota sampling
population are divided by a big variables like income, genders, and calculate each groups' percentages, then use select the numbers of samples in that percentages
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disadvantages
it is not random, so may occur bias
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Systematic sampling
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firstly set up the intervals, and choose a random number as the start of sampling, and then follow the intervals that we set up to deal.