One of the advantages of quota sampling is it helps create an accurate sample of the population when a probability sample cannot be obtained. Also, since quota sampling does not need a sampling frame or spelling techniques, it is easier and quicker to perform. A disadvantage is that it is difficult to see potential sampling errors.

Quota sampling has both advantages and disadvantages. Another advantage of quota sampling is it gives a better representation of certain groups within the population, without over-representing them. Using the quota sample makes the comparison of these groups easy.

However, a disadvantage of quota sampling is it makes it impossible to detect a potential sampling error, since the sample is not chosen via random selection. Even if a proportion of the population is estimated correctly, the sample selection may be biased, and since statistical inferences cannot be made from the sample to the population, it leads to generalization problems. It is also difficult to have an accurate quota frame due to the unavailability of current information on certain topics. It is possible to divide the population in groups, with each unit from the population belonging to one group, but if the sampling requirements are extended, more groups are needed. This would increase the sample size required for research, which in turn increases overall costs and research time.