Quota sampling
Quota sampling is a method for selecting survey participants that is a non-probabilistic version of stratified sampling.
Process
In quota sampling, a population is first segmented into
This second step makes the technique non-probability sampling. In quota sampling, there is non-
Uses
Quota sampling is useful when time is limited, a sampling frame is not available, the research budget is very tight or detailed accuracy is not important. Subsets are chosen and then either convenience or judgment sampling is used to choose people from each subset. The researcher decides how many of each category are selected.
Connection to stratified sampling
Quota sampling is the non-probability version of stratified sampling. In stratified sampling, subsets of the population are created so that each subset has a common characteristic, such as gender. Random sampling chooses a number of subjects from each subset with, unlike a quota sample, each potential subject having a known probability of being selected.[2]
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See also
References
- Dodge, Y. (2003) The Oxford Dictionary of Statistical Terms, OUP. ISBN 0-19-920613-9