The type of sampling described is called stratified random sampling. In this case, the population (students in a local college) is divided into subgroups or strata based on their year. Then, a random sample of 15 students is selected from each group. This method ensures that students from each year are represented proportionally in the sample, making it a more representative sample of the entire population.
