Which statement best describes representative sampling in epidemiology?

• A. It ensures every member has the same probability of selection.
• B. It focuses on collecting data from the most accessible subgroup.
• C. It aims to reflect the target population so results are generalizable.
• D. It ignores variation across subgroups.

Answer: (C)

Representative sampling focuses on making the sample resemble the target population in key characteristics so that findings can be generalized to that population. When the sample mirrors factors like age, sex, geography, and risk profiles, estimates of disease frequency or relationships between exposures and outcomes are more likely to hold true beyond the studied individuals.

Collecting data from the most accessible subgroup would introduce bias and limit generalizability because that subgroup may not represent the broader population. Simply aiming for equal probability of selection describes a probability-sampling method, which helps achieve representativeness but isn’t by itself the defining idea. Ignoring variation across subgroups would miss important differences and reduce the applicability of results to the whole population.