What type of sampling gathers data from a specific sub-group of the population?

Quota sampling involves gathering data from a specific sub-group of the population based on predetermined characteristics or criteria. It allows researchers to ensure that specific segments of the population are represented in the sample. For example, a researcher might want to collect opinions from 50 men and 50 women about a particular product, and quota sampling would ensure that this demographic is accurately represented in the data collection process.

This method enables researchers to focus their efforts on particular characteristics that are relevant to the study, providing more targeted insights than a random sampling method might offer, which does not guarantee representation of specific sub-groups. In contrast, stratified sampling also targets sub-groups but does so in a way that allows for representation proportional to the entire population, while snowball sampling is typically used for hard-to-reach populations, and random sampling aims for an unbiased selection without regard for specific traits or sub-groups.