From this information, the researcher gauges the smoking trend among the population of the city. Select your respondents. Quota sampling can be of two kinds — controlled quota sampling and uncontrolled quota sampling. Here, the researcher is limited to the selection of samples.
Here, the researcher chooses sample members at will. A researcher wants to survey individuals about what smartphone brand they prefer to use.
Depending on the type of research, the researcher can apply quotas based on the sampling frame. It is not necessary for the researcher to divide the quotas equally. Random sampling can be conducted to reach out to the respondents. Probability sampling techniques involve a significant amount of rules that the researcher needs to follow to form samples.
But, since quota sampling is a non-probability sampling technique, there are no rules for formally creating samples. Usually, there are four steps to form a quota sample. Here are the steps:. Below are the instances where quota sampling is applied and used.
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What is quota sampling? Select your respondents Types of quota sampling: Quota sampling can be of two kinds — controlled quota sampling and uncontrolled quota sampling. Researchers apply further nested quotas. Don't miss these related articles:. 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. Footer bottom Links. The Research Council of Norway. Controlled quota sampling: In this type of quota sampling the researcher is limited in the selection of the sample group participants.
This means the researcher is restricted. Uncontrolled quota sampling: in uncontrolled quota sampling the researcher is free to select the participants of a sample group depending on his knowledge of the population, or how he deems fit. Before you undergo quota sampling, understand that it does not constitute following many formal rules, unlike other probability sampling methods which require a number of rules a researcher must follow before developing samples.
There are four steps to follow when creating a quota sampling;. Divide the total population into two equal subgroups. The characteristics of each subgroup will be limited to that group.
What this means is that a subgroup can be the treatment group while the other group will be the control group. You can then use a random method of selection. Once you have divided your population into two subgroups, find out the proportion of each subgroup in the entire population and maintain this percentage.
Let us look at this example. Bear in mind the evaluated proportions in the above steps and ensure to maintain them while selecting your sample size. For example, if your population is , you can have a sample size of The important thing is for your sample size to represent the population. If you want accurate results and error-free research, focus on analyzing the predicted quota to gather your results.
Also ensure all surveys are completed. Here are the top characteristics of the quota sampling method;. To begin with, when a researcher has a particular standard for conducting a study, it is best to use quota sampling because it allows the researcher to select subgroups.
This makes it extremely easy for the researcher to obtain desired outcomes from the study. Also, characteristics or traits to be measured can be sieved out from the population, and integrated into the subgroups. Quota sampling is used when a researcher wants to conduct a study, has limited time, and is also trying to save costs.
Using the quota sampling method gives the researcher an overview of the entire population in less time. Another thing is quota sampling allows the researcher to save costs because instead of conducting research on the entire population, the researcher can use a few quarters to understand the total population thereby saving lots of money. Quota sampling is also used when a researcher does not need detailed accuracy from the outcome of a survey or test. It should be noted that a researcher should be familiar with the population and the aim of the test should be well understood so that the researcher can choose relevant sample groups.
For example, let us assume a researcher is tasked with the responsibility of evaluating the impact of cross-cultural diversity in improving effectiveness, among employees in 10 pharmaceutical industries in London, with a population of Once the researcher understands the aim of the study, the next thing is to assess how diversity has improved the effectiveness of employees with a focus on gender differences among these employees.
To achieve this, a researcher can apply quota sampling using the following steps:. Note that it is important that all genders are represented in your sample group equally. To achieve this, you can divide your group into 25 females and 25 males in each group.
This is important for your research. Once this is done and your sample group represents your study population, then you can perform your research. We are going to consider these examples to have a clearer understanding of quota sampling. A researcher wants to find out the smartphone that most individuals prefer to buy and use. This researcher wants to survey ten countries in Africa. To carry out this research, the researcher considers a sample size of 5, participants.
Now we are going to look at how the researcher can segregate the population by quotas. If you look at the example where the researcher used a sample size of employed and unemployed participants, you will note that it is not necessarily compulsory for the researcher to divide quota evenly. A brewery company decides to find out the age group that prefers a particular brand of wine in a specific state.
To determine this the researcher uses a quota sampling method on the following age groups. The researcher will analyze the results from the findings and this will provide insights for the company on the drinking trend in the state population. Note that in these two examples not the whole population who was involved in the survey rather a sample size was used to represent the entire population in its true characteristics. This is what the quota system means. A sample group is used to determine the value of the whole population.
In this article, we have looked at the concept of quota sampling and reached a conclusion that quota sampling is better applied when a researcher is trying to save costs and has limited time to conduct a study. It should also be noted that quota sampling is best used to represent a large population.
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