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In frequency control, the type of quota purposive sample being employed in this example, the surveyor would attempt to get a sample that comes close to the known percentages in the population (Cooper & Schindler, 2008). With frequency control, an exact sample is not required, only that the percentages surveyed are close to the known percentages in the population.
One of the weaknesses of quota purposive sampling is that the variables used to define a population may not be representative of other variables under study (Cooper & Schindler, 2008). The researcher may find that freshmen do not represent the important variable that is being researched, for example. Another weakness is in the data used to identify a demographic. That data could be flawed, outdated, or inaccurate, and as a result the researcher might not get an adequate sample (Cooper & Schindler, 2008). Still another weakness is the researcher's...
It becomes too costly and difficult to quota sample when the controls are numerous. Lastly, quota purposive sampling suffers from bias on the part of the surveyors in the field (Cooper & Schindler, 2008). Canvassers might look for people who are friendly and willing to participate, and the subjects themselves represent only those who are of a particular, survey-taking character.
Quota purposive sampling is cost effective when a researcher has access to demographic information and wants to target a certain subset of a population. It is a fast and easily implemented non-probability sampling method and, according to advocates, is relatively low risk. A researcher with limited resources and time might use it to greater effect than a random probability sampling.
References
Cooper, D.R. & Schindler, P.S. (2008). Business Research Methods, 10th Edition. New York, NY: McGraw-Hill/Irwin.
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