The choice of sampling method depends on several factors, including the study's objectives, the population size, available resources, and the need for precision. Researchers must weigh the pros and cons of each method to determine which one best suits their specific needs. For instance, if the goal is to study rare diseases, stratified sampling may be more appropriate to ensure that sufficient cases are included in the sample.