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What is the advantage and disadvantage of cluster sampling?

What is the advantage and disadvantage of cluster sampling?

Since cluster sampling selects only certain groups from the entire population, the method requires fewer resources for the sampling process. Therefore, it is generally cheaper than simple random or stratified sampling as it requires fewer administrative and travel expenses.

What is the main disadvantage of cluster sampling?

As a statistician is only choosing from a select group of clusters, they can increase the number of subjects to sample from within that cluster. The primary disadvantage of cluster sampling is that there is a larger sampling error associated with it, making it less precise than other methods of sampling.

What is cluster sampling PDF?

As described above, cluster sampling involves. obtaining a random sample of clusters from the population, with. all members of each selected cluster invited to participate. Therefore, each member of the population has a fixed probability. of being selected independently of all others.

What are advantages and disadvantages of sampling?

Comparison Table for Advantages And Disadvantages Of Sampling

Advantages of Sampling Disadvantages of Sampling
Sampling save time Chance of biased answers
Sampling avoid repetition of query for each and every individual Selection of good samples is difficult

What are the advantages of random sampling?

What Are the Advantages of Random Sampling?

  • It offers a chance to perform data analysis that has less risk of carrying an error.
  • There is an equal chance of selection.
  • It requires less knowledge to complete the research.
  • It is the simplest form of data collection.

What is cluster random sampling?

In cluster sampling, researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample. Cluster sampling is a method of probability sampling that is often used to study large populations, particularly those that are widely geographically dispersed.

What is cluster sampling with example?

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.

What are the advantages and disadvantages of non random sampling?

Advantages and disadvantages A major advantage with non-probability sampling is that—compared to probability sampling—it’s very cost- and time-effective. It’s also easy to use and can also be used when it’s impossible to conduct probability sampling (e.g. when you have a very small population to work with).

What is the disadvantage of random sampling?

Random samples are the best method of selecting your sample from the population of interest. The advantages are that your sample should represent the target population and eliminate sampling bias. The disadvantage is that it is very difficult to achieve (i.e. time, effort and money).

Why is cluster sampling important?

Cluster sampling is a great way for researchers to study an entire population – without having to survey the entire population. It’s cost-effective, efficient, offers easier analysis, and is generally very reliable.

What are the applications of cluster sampling?

Applications: When is it used Researchers will form clusters based on geographical area by grouping individuals within a community, neighborhood, or local area into a single cluster. Cluster sampling is also used in market research when researchers are unable to collect information about the population as a whole.

What are the disadvantages of simple random sampling?

Disadvantages of Simple random sampling

  • This method carries larger errors from the same sample size than that are found in stratified sampling.
  • In simple random sampling, the selection of sample becomes impossible if the units or items are widely dispersed.

What are the benefits of cluster sampling?

Benefits of Cluster Sampling. We’ve covered some of the advantages and disadvantages, but to recap, cluster sampling is: Less expensive. Because you’re surveying a sample of a population and not the entire population, cost can be greatly reduced. Less time-consuming.

What are the disadvantages of a cluster?

– Estimate the risk of failure over any given time (highly dependant on quality of hardware, risk of OS crashes,…). – Calculate the damage of failure for this service (like hourly rates for employees who cannot work productively because of the failure). – The monetary risk is failure risk times damage.

What are the disadvantages of stratified sampling?

Define the target (total) population

  • Choose the stratification variables and how many strata will exist.
  • Identify each item in the population and assign a unique identifier.
  • Determine the size of each stratum (explained in the next section)
  • What are advantages and disadvantages in multistage sampling?


  •  Multistage sampling is a complex form of cluster sampling.  we use variety of sampling methods together.
  •  Most survey conducted by professional polling organization use some combination of stratified and cluster sampling as well as simple random sampling.