Rather than sampling individuals, these sampling methods utilize sampling frames of specific locations:
A) cluster sampling
B) two-stage sampling
C) stratified sampling
D) simple random sampling
E) multistage sampling

Question

Quizplus · Accepted Answer

Cluster and multistage sampling methods involve dividing the population into smaller groups or clusters, and then randomly selecting clusters to survey. This can be more practical and efficient in situations where a sampling frame of individuals is difficult to obtain or when the population is geographically dispersed. Two-stage sampling is similar to cluster sampling, but involves a two-step process of selecting clusters and then individuals within those clusters. Stratified sampling involves dividing the population into homogeneous groups and then random sampling within each group. Simple random sampling involves randomly selecting individuals from a sampling frame of the entire population. While all of these sampling methods have their advantages and disadvantages, cluster and multistage sampling are particularly useful when a sampling frame of individuals is unavailable or impractical.

Rather Than Sampling Individuals, These Sampling Methods Utilize Sampling Frames