In which sampling method are specific quotas set for subgroups within the sample?

In which sampling method are specific quotas set for subgroups within the sample?

• A. Random sampling
• B. Quota sampling
• C. Stratified sampling
• D. Systematic sampling

Answer: (B)

Quota sampling is a non-probability sampling method in which specific quotas are established for different subgroups within a population. This approach ensures that the sample represents certain characteristics of the population by setting predetermined numbers for each subgroup, such as age, gender, or income level. For instance, if a researcher wants a sample that reflects the overall population distribution of gender, they might set a quota of 50 men and 50 women. Researchers will then select participants until these quotas are met, which allows for a focused representation of those specific subgroups. This method is particularly useful in market research and studies where certain characteristics are critical to the research goals. It contrasts with random sampling, where each individual has an equal chance of being selected without specific quotas, and stratified sampling, which does involve dividing the population into subgroups but selects randomly from those groups. Systematic sampling, on the other hand, involves selecting every ‘kth’ member of a population from a list, which does not involve the establishment of quotas. Therefore, quota sampling is distinct because of its targeted approach to ensure representation from predefined categories within the sample.

Quota sampling is a non-probability sampling method in which specific quotas are established for different subgroups within a population. This approach ensures that the sample represents certain characteristics of the population by setting predetermined numbers for each subgroup, such as age, gender, or income level.

For instance, if a researcher wants a sample that reflects the overall population distribution of gender, they might set a quota of 50 men and 50 women. Researchers will then select participants until these quotas are met, which allows for a focused representation of those specific subgroups.

This method is particularly useful in market research and studies where certain characteristics are critical to the research goals. It contrasts with random sampling, where each individual has an equal chance of being selected without specific quotas, and stratified sampling, which does involve dividing the population into subgroups but selects randomly from those groups. Systematic sampling, on the other hand, involves selecting every ‘kth’ member of a population from a list, which does not involve the establishment of quotas.

Therefore, quota sampling is distinct because of its targeted approach to ensure representation from predefined categories within the sample.