You can also continue this procedure, taking progressively smaller and smaller random samples, which is usually called multistage sampling. You should use this method when it is infeasible or too expensive to t
the groups are not fully representative or interchangeable. Randomly sampling the subjects from the groups helps reduce thebiasthat these conditions cause. However, it increases the time and cost associated with the sampling plan relative
Cluster sampling is a probability sampling technique where researchers divide the population into multiple groups (clusters) for research. So, researchers then select random groups with a simple random or systematic random sampling technique for data collection and unit of analysis. Example: A researcher...
For example, in stratified sampling, a researcher may divide the population into two groups: males vs. females. Conversely, in cluster sampling, the clusters are similar to each other but with different internal composition. Advantages of Cluster Sampling The cluster method comes with a number of ...
If the example had been a survey in which 30 clusters were selected rather thanthree, it would have followed the design of the Expanded Program on Immunization (EPI) of theWorld Health Organization. The second survey is shown Figure 5-2. Here three clusters are alsoselected with PPS sampling...
Example of Two-Stage Cluster Sampling A garment manufacturer has N = 90 plants located throughout the United States and wants to estimate the average number of hours that the sewing machines were down for repairs in the past months. Because the plants are widely scattered, she decides to ...
The important thing to remember about this sampling technique is to give all the clusters equal chances of being selected. Types of Cluster Sample One-Stage Cluster Sample Recall the example given above; one-stage cluster sample occurs when the researcher includes all the high school students from...
This method combines the sampling technique with PAM; however, it is not limited to a single sample at a specific time. CLARANS represents a sample with some randomness in each phase of the search, whereas CLARA has a fixed sample at every step of the search. The clustering approach can ...
An example of what is numbers gathered and graphs drawn during an scientific experiment? In what situations would sampling work best for estimating population size, in what situations would mark and recapture work best and why? What is the primary distinction between observational and experimental ana...
Learn more about this topic: Cluster Sampling | Definition, Types & Examples from Chapter 7 / Lesson 4 249K What is cluster sampling? Learn the cluster sampling definition along with cluster randomization, and also see cluster sample vs stratified random sample. Related to this...