This works by diving the target population into subcategories, then selecting members in the proporion that they occur within the population. For example, 2.5% of Brits are of Indian origin, so 2.5% of your sample should be of that subcategory (Indian Origin).
Pros:
- Generalisability- the sample is completely representative of the target population.
Cons:
- Practicality - time has to be spent identifying subcategories and calculating proportions
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