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Sampling methods - Coggle Diagram
Sampling methods
Key terms
Representativeness- The extent to which a sample accurately reflects the characteristics of a larger population.
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Generalisability- The extent to which the findings of a study can be applied to other populations or contexts.
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Random sampling
Like putting names in a hat. Everyone in the research population has a chance to be involved, as the names are randomly selected.
Strength- Easy to create and can be done by computer - unbiased.
Limitation- Can lead to an unrepresentative sample.
Opportunity sampling
Taking the sample from people who are available at the time the study is carried out and fit the criteria you are looking for.
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Systematic sampling
Listing all your potential ppts and selecting every nth person until your desired sample size has been reached.
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Stratified sampling
The sample frame will be divided into a number of small groups such as social class, age, gender etc. To stratify this sample, the researcher would then randomly select proportional amounts of people from each group.
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Quota sampling
The sample frame will be divided into a number of smaller groups, and a set number will be taken from each group.
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Snowball sampling
Researchers might find a few ppts, and then ask them to find ppts themselves and so on.
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