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Response quota refers to limiting the total number of responses gathered for the survey. Whereas quota control refers to limiting the number of responses for each answer option. Adding a quota to your survey means defining a logic through a program in your survey.
Also known as answer quota control, allows you to personalize the survey flow based on the responses gathered for each answer option. This quota decides the next step in the survey, once the respondents reach the limit of the answer options. You can decide to either terminate the survey or choose to delete older responses.
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Setting a quota to the answer options in your surveys makes sure that the responses do not exceed the limit imposed on them. This puts hold on the data that comes in through survey responses.
Although, applying survey quota control is only possible with multiple-choice questions. In cases where respondents can choose multiple options and one of the answer options has its quota full, respondents can choose another option. The survey termination action won’t be executed and it will keep on going.
In the below example, if the respondent chooses DELL, if the quota for DELL has reached its limit, the survey will terminate for the user. But if he chooses DELL and Lenovo both, even if the quota for DELL is out of limit, he still can continue the survey because the limit for Lenovo is yet to reach it limit. Hence, the respondents can go ahead and answer questions related to Lenovo.
In this section, let us discuss the actions you can take once the answer option reaches its quota limit:
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When the sample size is uneven, it leads to one answer option getting more responses than the other. This can result in skewing of data. It is a tough job to equally choose the sample size for every answer option, right? But what we can do is limit the responses on the answer options themselves. And to do so, quota control helps you in limiting the number of responses every option gets. That way, you will have an equal number of responses to the answers and can fairly derive conclusions without any bias and skewing.
As we saw in the above example, the primary use of quota control is to collect a proportionate number of responses of each answer option.
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