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Types of Cluster Sampling
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| bet | 2/4 | | Sana | 19.05.2024 | | Hajmi | 353,98 Kb. | | #244385 |
Bog'liq lesson.6 Types of Cluster Sampling
There are two ways to classify this sampling technique. The first way is based on the number of stages followed to obtain the cluster sample, and the second way is the representation of the groups in the entire cluster analysis. In most cases, sampling by clusters happens over multiple stages. A stage is considered to be the step taken to get to the desired sample. We can divide this technique into single-stage, two-stage, and multiple stages.
01. Single-stage Cluster Sampling
As the name suggests, sampling is done just once. An example of single-stage cluster sampling – An NGO wants to create a sample of girls across five neighboring towns to provide education. Using single-stage sampling, the NGO randomly selects towns (clusters) to form a sample and extend help to the girls deprived of education in those towns.
02. Two-stage Cluster Sampling
Here, instead of selecting all the elements of a cluster, only a handful of members are chosen from each group by implementing systematic or simple random sampling. An example of two-stage cluster sampling – A business owner wants to explore the performance of his/her plants that are spread across various parts of the U.S. The owner creates clusters of plants. So, he/she then selects random samples from these clusters to conduct research.
03. Multiple-stage Cluster Sampling
Multiple-stage cluster sampling takes a step or a few steps further than two-stage sampling.
For conducting effective research across multiple geographies, one needs to form complicated clusters that can be achieved only using the multiple-stage sampling technique. An example of Multiple-stage sampling by clusters – An organization intends to survey to analyze the performance of smartphones across Germany. They can divide the entire country’s population into cities (clusters) and select cities with the highest population, and also filter those using mobile devices.
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