collection. The sampling technique they use is cluster sampling: each faculty— business and economics, medicine, law, engineering and etc—is treated as a cluster. The faculty of Arts and the faculty of Business and Economics are randomly selected as the clusters to be surveyed. From each cluster, the researchers draw a random sample of students to be invited to participate in the survey. Please briefly comment on the sampling technique used. Is it appropriate? If yes, explain why. If not, what would be an appropriate sampling technique for this scenario? Sampling cluster divides the population into multiple clusters in which every cluster is representative by itself as the whole population. Then, one cluster will be randomly picked. It is either using the picked cluster as sample or pick a sample from the cluster using probability-based procedure. In this research, there are different faculty such as business and economics, medicine, law and so on. The clusters are not homogenous due to different faculties within the cluster in which sampling cluster is not appropriate in this research. Hence, it is better to use stratified sampling Within cluster, people are different
Stratifying within the strata, the group are different
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