The quota sampling method is more suitable for research types where the accuracy of the research outcome is not essential. The effectiveness of quota sampling can be ensured if the researcher has a clear understanding of the objective of research and in-depth knowledge about the population.
The first step in quota sampling is the creation of groups of individuals with similar characteristics or traits relevant to the research. Make sure that participants in the study belong to only one group. For example, a researcher can create two groups of women based on two characteristics.
The first characteristics are to select women who belong to the age group of , and the second characteristic can be working or non-working women. In this way, two research groups can be formed. The first group of women will consist of working women within the age group of Some of the advantages are stated below:. Nothing can have only positive aspects. Quota Sampling also has its pros and cons. As this process sets criteria to choose samples, disadvantages are mainly due to its non-random nature.
Some of the disadvantages are as follows:. Quota Sampling can be a useful technique if we handle it with due care and choose a good strata-division method.
A time saving, less costly and easy method with high rate of accuracy is what always we want in sampling. Back to Overview "Sampling". Next Article » "Judgmental Sampling".
Full reference:. Want to stay up to date? Follow us! Follow ExplorableMind. Save this course for later Don't have time for it all now? No problem, save it as a course and come back to it later. Add to my courses. Promotions Promotions refer to the entire set of activities, which communicate the product, brand or service to the user. Random Sampling. Definition: Quota sampling is a sampling methodology wherein data is collected from a homogeneous group.
It involves a two-step process where two variables can be used to filter information from the population. It can easily be administered and helps in quick comparison. Description: Quota sampling is a simple yet effective way to do research in the initial phases. From the population, the researcher could select two variables to study about a particular group.
He could use gender as well as income level or the education level for the purpose of research. The researcher could also add other sub-points to the data set according to the requirements of the research. In a quota sampling there is a non-random sample selection taken, but it is done from one category which some researchers feel could be unreliable.
The researchers run the risk of bias. Interviewers might be tempted to interview those individuals on the street who appear most helpful in filling the form or they could sample individuals who could contradict them or others known to them just to meet the target set of audience.
Quota sampling is used when the company is short of time or the budget of the person who is researching on the topic is limited. Quota sampling can also be used at times when detailed accuracy is not important. To create a quota sample, knowledge about the population and the objective should be well understood so that the researcher can choose the relevant stratification; next is to calculate quota from each section of the population and at the end keep on adding samples until the quota for each section is met.
Quota sampling has its own advantages. It is an easy process to carry out and decipher information once the sampling is done. It also improves the representation of any particular group within the population thereby ensuring that these groups are not over-represented.
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