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GCSE Sociology · key term
Dividing a population into relevant subgroups and randomly selecting from each in proportion to its size in the population.
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Paper 1, Paper 2
Revise: Research DesignStratified random sampling divides the population into relevant subgroups, or strata, and selects randomly within each in proportion to its size. For example, if 20% of the sixth-form population belongs to a particular year-and-gender category, that category would also make up 20% of the sample. This helps ensure that relevant groups are proportionately included.
Component 2
A technique that divides the population into subgroups and randomly selects participants from each in proportion to its size in the population.
Distinguish stratified random sampling from quota sampling: both use categories, but only stratified random sampling selects randomly within them.
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Stratified random sampling first divides the population into strata, or subgroups, using relevant characteristics such as age or gender. The researcher then randomly selects people from each stratum in proportion to its size in the population.
