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Sampling (Design (Sample structure, Plans for analysing and interpreting…
Sampling
Design
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The first step in good sample design is to ensure all elements within the population are represented
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Type of sampling
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Cluster sampling
Units in the population can often be found in certain geographic groups or "clusters"
A random sample of clusters is taken, then all units within the cluster are examined.
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Quota sampling
The aim is to obtain a sample that is "representative" of the overall population.
The population is divided ("stratified") by the most important variables such as income, age and location.
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Disadvantage
Not random, so some risk of bias
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Systematic sampling
After randomly selecting a starting point from the population between 1 and *n, every nth unit is selected.
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Sample Size
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The confidence level is the likelihood that the results obtained from the sample lie within a required precision
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Definition:sampling means getting opinions from a number of people, chosen from a specific group, in order to find out about the whole group.