What type of sampling is used when selecting every fourth student from a list?

Systematic random sampling is characterized by selecting every nth individual from a population list, which in this case is every fourth student. This method involves a random starting point and then a consistent interval for selection, ensuring an organized approach to sampling. It allows for a spread-out and representative sample, assuming the list itself does not have any inherent biases that could affect the data collection.

In contrast, simple random sampling involves selecting individuals entirely by chance, ensuring each member of the population has an equal opportunity of being chosen, without systematic intervals. Stratified random sampling divides the population into distinct subgroups and samples from each, rather than following an interval method. Lastly, convenience sampling involves selecting individuals based upon ease of access, which does not apply in this scenario where a specific, organized selection interval is used. Therefore, the correct answer is indeed systematic random sampling.