What type of sampling method pulls participants from a specific subgroup?

Stratified sampling is a method that specifically involves dividing the population into distinct subgroups, known as strata, based on shared characteristics or attributes. The key advantage of this method is that it ensures representation of various subgroups within the overall sample, which can enhance the validity and reliability of research findings.

By intentionally selecting participants from each subgroup, researchers can analyze differences across these segments, leading to more nuanced insights. For instance, if a study aims to examine the impact of a social program on different age groups, stratified sampling would allow for targeted recruitment of participants from each age category, ensuring that the final sample reflects the diversity of the population.

This contrasts with other sampling methods, which may not specifically aim to draw participants from defined subgroups or may lack the intention of proportional representation, possibly skewing the results.