Final answer:
Quota sampling is a nonprobability sampling method where subjects are chosen to satisfy certain population-matching quotas, unlike convenience sampling which might create biased samples due to the ease of access to participants.
Step-by-step explanation:
The type of nonprobability sampling in which subjects are chosen so as to satisfy certain quotas that match the population is known as quota sampling. In quota sampling, researchers decide how many people to include from various subgroups to ensure the sample reflects the diversity of the population. This is distinct from convenience sampling, where individuals are selected based on ease of access, potentially resulting in biased data. It's also different from random sampling methods such as simple random sampling, stratified sampling, cluster sampling, and systematic sampling, which are all aimed at creating a more representative sample.
For example, in a survey that targets college athletes, if the researcher wants to reflect the proportion of different sports within the athlete population, they might use quota sampling to ensure they have participants that represent each sport according to its prevalence in the total group of athletes.