What sampling technique is used when a data analyst selects every fourth patient from each clinic schedule?

The technique being described involves selecting every fourth patient from each clinic schedule, which is characteristic of systematic random sampling. This method involves selecting individuals from a larger population at regular intervals; in this case, every fourth patient is chosen.

Systematic random sampling is advantageous because it simplifies the selection process while still providing a level of randomness. Unlike simple random sampling, which would require a completely random selection process, systematic sampling is structured, making it easier to implement while promoting a representative sample when the data is organized in a systematic manner.

In this scenario, because the selection is based on a fixed pattern (every fourth patient), it distinctly identifies it as systematic random sampling rather than any other forms, such as stratified or cluster sampling, which focus on dividing populations into groups or clusters before sampling.