Use BookMyEssay:Quota Sampling Assignment Help

A non-probabilistic version of stratified sampling is a method that is used for quota sampling. In this method a selected group of participants is considered, segregate them into batches and then specimens are taken from each batch to meet a quota.

It depends upon the researcher on how many categories will be there for quota sampling. The data collected by the researcher must be segregated into categories for further use in conducting Non-probability sampling. Our assignment providers at BookMyEssay has a detailed understanding of this field and their crucial experience will provide students with the best Quota Sampling assignment help.

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Significance of Quota Sampling and Its Accuracy

The important part of quota sampling study is to identify the different dynamics and properties present in a wider population group. Students should apply the correct form of judgment and segregate the population into different sub-groups on particular samples. The selection of data and its disbursement in varied categories play a key role to analyse the correct judgment. This defines the base on which data can be categorized accurately which thereby affects the final comparison integrity.

Types of Quota Sampling

Mainly in two ways, we can classify quota sampling:

• Controlled quota sampling- In this scenario, the choice of samples for the researcher is limited only.
• Uncontrolled quota sampling- In this case, the researcher can select any samples as per his wish and conduct the quota sampling process.

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Advantages of Quota Sampling

Let’s discuss the advantages of quota sampling:

• Research convenience: In quota sampling, the convenience of the researcher is taken care of throughout the survey.
• Minimum expenses: Quota sampling usually requires a minimum budget and thus can be conducted easily.
• Saves time:Usually, we already know the quota for sample creation and thus the process is fast and simple.
• Exact depiction of the study of population’s interest: Sampling techniques are productively used by researchers to represent a population. Since there are specific quotas in sampling techniques researchers find no room for over-representation to study the population.

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