Quota Sampling Concepts and Applications

Quota sampling involves selecting a specific number of participants from different groups without randomization. It is cost-effective but can introduce bias as it depends on who is available and willing to participate. The method is manageable but may not represent the entire population accurately.

What is the primary focus of quota sampling?

• Random selection of participants

• Ensuring equal representation of all demographics

• Filling a specific quota of participants

• Using a large sample size

In the context of quota sampling, what is the role of the researcher?

• To use a computer algorithm for selection

• To randomly select participants

• To ensure all participants are from the same region

• To find participants until the quota is filled

What is the main goal when conducting quota sampling?

• To ensure randomness

• To fill a predetermined quota

• To use the smallest sample possible

• To avoid any form of bias

How does quota sampling differ from random sampling?

• Quota sampling uses a list of all potential participants

• Quota sampling is more expensive than random sampling

• Quota sampling is based on random selection

• Quota sampling involves selecting participants to meet specific criteria

In quota sampling, what determines the participants selected?

• Researcher's discretion

• Computer algorithms

• Random chance

• Government regulations

What is a key advantage of quota sampling?

• It is cost-effective

• It requires no effort from the researcher

• It is more accurate than other methods

• It eliminates all biases

Why might quota sampling be considered manageable?

• It uses a computer algorithm

• It involves a large team of researchers

• It is conducted over a long period

• It requires fewer resources

What is the main reason quota sampling is considered cost-effective?

• It is conducted over a long period

• It involves complex algorithms

• It requires a large team

• It uses fewer resources

Which of the following is a disadvantage of quota sampling?

• It requires a large sample size

• It is too expensive

• It is difficult to manage

• It can introduce bias due to non-random selection

What is a potential issue with the results of quota sampling?

• They are always accurate

• They may be biased

• They are too detailed

• They are not cost-effective