However, if an organization seeks to provide shelter to as many people as possible, the quality of these shelters may not be up to standard. For example, if you are sampling 1,000 people you might choose a quota sample of 100. Have you used quota sampling to support your research initiatives? The research process outlined above is in fact an example of quota sampling, as the researcher did not take a random sample. This can mean producing a set number of products, hiring a number of people from a specific demographic or supplying a number of products by a deadline. Let us know in the comments below! It’s important to note that gender was selected here because it is important to the response, as the researcher is ultimately interested in purchasing preferences of consumers at the shopping plaza. Quota sampling is very similar to stratified random sampling, with one exception. Quota sampling is a non-probability sampling technique in which researchers look for a specific characteristic in their respondents, and then take a tailored sample that is in proportion to a population of interest. Quota sampling comes with both advantages and disadvantages. These organizations seek to help as many people as possible and often set quotas for the number of people they help. Your email address will not be published. This results in widespread corruption in which avaricious companies profit, and smaller companies cannot compete. Sticking with our example above, if one in five employees has been at the company for four to six years, 20 percent of our sample should also have worked at their current company for four to six years. However, quota sampling is a convenient and useful tool when stratified random sampling is not possible. Your email address will not be published. As mentioned previously, it’s best for researchers to try to use stratified random sampling instead of quota sampling. When companies set quotas, they often result in poor product quality as employees struggle to produce as many products as possible in a short time. Answer (1 of 9): The advantages of quota sampling include:Preventing decisions to be polluted by unnecessary inputIt saves money when time is an issueIt is quick and easy to arrange.What is quota sampling? Although quotas often help keep companies profitable, they also have a number of negative effects on production. Others argue that this policy privileges people who do not deserve the job. Since the researcher believes that men and women have different purchasing preferences, the researcher decides to stratify the population by gender. Imagine that a researcher is interested in the purchasing preferences of consumers at a local shopping plaza. Companies will sometimes seek to circumvent quotas by bribing officials. Required fields are marked *, GoldPantry-Surveys Blogs. With my wife as the sole breadwinner, I knew eventually we’d need more…. Another advantage of quota sampling is it gives a better representation of certain groups within the population, without over-representing them. It’s imperative to adhere to the subgroup to population proportion. In quota sampling, the samples from each stratum do not need to be random samples. If so, we’d love to hear what you thought of the process. My name is Nelly, and two years ago I decided to change my life. Choosing a quota sample can be broken down into three steps. Although quotas often help keep companies profitable, they also have a number of negative effects on production. Quota sampling increases the risk of researcher bias as a researcher might include people in research who he finds to easy to approach or have co-operative nature. Let’s consider a theoretical example of quota sampling so that we can better understand this concept. Often, the only way to combat this problem is to spend more money and raise the quotas. I had just quit my full-time job. 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These strata should be exclusive, meaning that participants in the study only belong to one strata. Companies may overlook candidates if they do not fit into one of the demographic quotas. Although this often boosts local economies, it can also have a negative impact. Second, the researcher must then determine the proportion of subgroups in the population. In order to get a proportional sample, the researcher decides to sample 240 females (which represents 60 percent of his sample) and 160 males (40 percent of the sample). GuCherry Blog by Everestthemes, The Advantages & Disadvantages of Quota Sampling | SurveyGizmo Blog. For this reason, stratified random sampling is a preferable method over quota sampling, as the random selection in stratified random sampling ensures a more accurate representation of the larger population. Finally, the researchers must then choose participants to partake in their study. The disadvantages of quotas are numerous, but are often specific to the field to which the quotas apply.