Stratified sampling is a method used in order to get a completely representative sample. This is done by giving everyone an equal chance of being picked, but within categories. For example, if you were trying to research a class's attitude towards sociology, but the class consisted of 12 girls and 6 boys, there's more of a chance that if everyone's names were put into a hat that more girls would be picked, and therefore the boys would be under-represented. To solve this, researchers use stratified sampling, which involves controlling the factors and picking a sample which represents the target population fairly, whilst the target population is split into groups.
Showing posts with label simple. Show all posts
Showing posts with label simple. Show all posts
Monday, 1 February 2016
Research Methods - Systematic Sampling
Systematic sampling is when you choose every nth person. This is used in order to achieve a random sample with a variety of different people. This also manages to cover larger areas without having to ask everyone. For example, if you wanted to know the general attitude towards youth crime in a specific town, you could choose every 5th person off a council register of residents, which would help to get a wider opinion without having to ask as many people.
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