A systematic sample is a method of selecting participants from a larger population in a structured way. Instead of choosing individuals randomly, researchers select every nth person from a list or sequence. For example, if a researcher wants to sample 10 people from a list of 100, they might choose every 10th person, starting from a random point. This sampling technique is often used in surveys and studies because it is straightforward and can be more efficient than simple random sampling. However, it is important to ensure that the list is not biased, as this could affect the representativeness of the sample.