What type of sampling requires the researcher to determine the number of respondents from specific groups?

Quota sampling requires the researcher to identify specific groups and determine the number of respondents to interview from each group. In this method, the researcher sets quotas based on characteristics like age, gender, or socio-economic status, ensuring that the sample reflects the diversity of the population being studied. This approach enables the researcher to gather data that is representative of different sub-groups, allowing for more detailed analysis of variations across these groups.

In contrast, stratified sampling also involves dividing the population into specific groups, but it relies on random selection from these groups to ensure each subgroup is proportionately represented in the sample based on their presence in the larger population. Snowball sampling involves participants recommending other participants, often used in hard-to-reach populations, and random sampling is a technique where every individual in the population has an equal chance of being selected, without specific quotas or group considerations.