group sampling的意思|示意

Group sampling (also known as cluster sampling) is a sampling technique in which all members of a subset, or group, of a population are typically selected for inclusion in the sample. Group sampling is used when it is difficult or impractical to select sample members from the entire population.

Group sampling requires the researcher to divide the population into groups, or clusters. Under this method, a researcher would select a number of clusters and randomly select the members of the clusters who will participate in the study. For example, if a researcher wanted to determine the opinion of teens on a certain topic, they could divide the population into clusters according to geographic area. They could then randomly select a number of clusters, such as ten, and select all the members within those ten clusters to be included in the sampling.

One of the main advantages of group sampling is that it can reduce the cost of a study because fewer members need to be contacted and fewer resources in terms of time and money are needed to carry out the study. Another advantage of group sampling is that it can be used when the population of interest is distributed over a large geographical area and it would be difficult to collect data from all members of the population.

Group sampling, however, has its disadvantages. One such disadvantage is that the sample may not be representative of the population. Since the members of the sample are selected by cluster, there is a possibility that the sample may be biased due to the characteristics of the cluster itself. Another disadvantage is that it is difficult to determine the size of the sample needed to provide an accurate representation of the population.

In conclusion, group sampling is a useful sampling technique that can be used when it is difficult or impractical to select members from the entire population. It is important, however, to consider the potential biases that may arise from the use of this technique.