Comprehensive Psychology and Neuroscience Key Concepts and Theories Practice Test

When you want a sample that reflects the whole population, you use random selection. In this approach, every member of the population has an equal chance of being chosen, and selections are driven by chance rather than any purposeful choice. This reduces systematic bias and makes the sample more likely to match the population on key characteristics, which supports generalizing the findings beyond the sample.

Random assignment, by contrast, deals with placing participants into experimental groups after the sample is drawn, to ensure groups are comparable. It doesn’t ensure the overall sample represents the population. Convenience sampling picks participants who are easy to reach, which can bias the sample toward certain traits. Snowball sampling relies on referrals from initial participants, often creating clusters within social networks and biasing the sample as well.

So the method designed to maximize representativeness of the population is random selection, acknowledging that some sampling error can still occur but it’s minimized by giving everyone an equal chance to be included.