What is the primary characteristic of systematic sampling?

Systematic sampling is defined by the process of selecting individuals from a population through a fixed interval method. This involves creating a list of individuals from which selections can be made, after which every nth person on the list is systematically chosen to be included in the sample. This approach provides a straightforward and efficient way to ensure that the sample covers the entire population without introducing bias, as each individual has an equal chance of being selected.

In essence, this method allows for easy implementation while providing a level of randomness that helps prevent selection bias. By using a predetermined interval, researchers can also simplify their sampling process, making it easier to obtain a representative sample from larger populations. This systematic approach contrasts with methods such as stratified sampling, where distinct groups are targeted, or cluster sampling, where entire groups are used instead of individuals.