Answer:
Stratified sampling
Explanation:
The is a type of sampling in which the population of interest is divided into subpopulations and then each subpopulation is randomly sampled.
In this case study, instead of just doing a random sampling of all students, the research divided the population of all students into subpopulations which includes freshmen, sophomores, juniors and seniors and then she makes a random sampling of each of these subpopulations.