What is Quota Sampling | How to Use Quota Sampling

Summary

This video explains quota sampling, a non-probability sampling method where individuals are chosen based on predefined categories representing the target audience. The process involves dividing the audience into segments, calculating proportions, and selecting participants to reflect those proportions. It also highlights two types of quota sampling: controlled, which limits sample size per category, and uncontrolled, which does not. The video provides an example using a college student population to demonstrate the method and emphasizes the importance of checking if the sample reflects the key characteristics of the audience. The ultimate goal is effective research validation.

Takeaways

• 😀 Quota sampling is a non-probability sampling method where individuals are selected to represent specific characteristics of a target audience.
• 😀 The goal of quota sampling is to ensure that the final sample reflects the same proportions of characteristics as the overall population.
• 😀 Quota sampling can be divided into two types: controlled quota sampling and uncontrolled quota sampling.
• 😀 Controlled quota sampling sets specific limits on the sample size for each category, ensuring strict adherence to quotas.
• 😀 Uncontrolled quota sampling does not place restrictions on the sample size for each category, offering more flexibility in sample selection.
• 😀 To use quota sampling effectively, divide your audience into segments based on relevant quotas such as age, gender, income, or job role.
• 😀 The proportions of these segments in the entire population should be replicated in the sample to maintain representativeness.
• 😀 After identifying the proportions, select participants from each segment according to the proportions you have determined.
• 😀 For example, if a population of college students is 43% male and 57% female, a sample of 1,000 should consist of 430 men and 570 women.
• 😀 Double-check the sample to ensure it reflects the important characteristics of each segment, though perfect accuracy is not required.
• 😀 Quota sampling can be useful when precise targeting or niche panelists are required, such as with specific research studies or surveys.

Q & A

What is quota sampling?

Quota sampling is a non-probability sampling method where individuals are selected to represent specific categories or characteristics of a target audience. The goal is to ensure that the sample mirrors the overall distribution of these characteristics within the population.

How are participants selected in quota sampling?

Participants are selected based on quotas that represent particular characteristics, such as age, gender, or income, ensuring that these proportions are reflected in the final sample.

What are the two main types of quota sampling?

The two main types of quota sampling are controlled quota sampling, which imposes specific limits on the sample sizes for each category, and uncontrolled quota sampling, which does not impose such restrictions.

What is the difference between controlled and uncontrolled quota sampling?

In controlled quota sampling, the researcher sets specific limits on the number of individuals chosen from each category (e.g., no more than 50 participants per category). In uncontrolled quota sampling, there are no such restrictions, allowing the sample size for each category to vary freely.

Why is it important to apply quota sampling to a study?

Quota sampling is useful when the researcher wants to ensure that the sample accurately represents key segments of the population, such as age or gender, without needing to randomly sample all individuals.

What is the first stage in using quota sampling?

The first stage is to divide the audience into relevant segments or categories based on characteristics such as age, gender, income, or job role.

How are proportions used in quota sampling?

Once the audience is divided into segments, the proportions of each segment in the population are identified. These same proportions are then applied to the sample, ensuring that the sample mirrors the audience's makeup.

Can you provide an example of quota sampling?

For example, if a local college has 43% male and 57% female students, and the researcher needs a sample of 1,000 students, the researcher will select 430 male students and 570 female students to reflect the population's gender distribution.

What should be checked after selecting a sample in quota sampling?

After selecting the sample, it is important to double-check that the sample represents the target audience. While a perfect match is not possible, the key characteristics of each segment should still be included.

What is the main goal of quota sampling?

The main goal of quota sampling is to create a sample that accurately represents the key characteristics of the larger population, without the need for random selection.