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42:. Then judgment is used to select the subjects or units from each segment based on a specified proportion. For example, an interviewer may be told to sample 200 females and 300 males between the age of 45 and 60. This means that individuals can put a demand on who they want to sample (targeting).
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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
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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.
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in a way that is difficult to quantify or adjust for. For example, if interviewers decide to question the first person they see, they may oversample tall respondents (who are more easily visible from a distance), which could lead to an
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This second step makes the technique non-probability sampling. In quota sampling, there is non-
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to question those closest to them, to save time. The problem is these samples may be
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is a method for selecting survey participants that is a non-probabilistic version of
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Marketing
Research and Information Systems. (Marketing and Agribusiness Texts – 4)
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potential subject having a known probability of being selected.
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In quota sampling, a population is first segmented into
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178:The Oxford Dictionary of Statistical Terms
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214:In Defense Of Public Opinion Polling
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211:Kenneth F Warren (2018-02-15).
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