Cons of Cluster Sampling Biased Sampling: - If the group in population that is chosen as a cluster sample has a biased opinion then the entire population is inferred to have the same opinion. For example, a researcher wants to know the different eating habits in western Europe. Cluster Sampling. When the population consists of units rather than individuals . Advantages and Disadvantages! The advantages and disadvantages of random sampling show that it can be quite effective when it is performed correctly. included in the general sampling. On the contrary, in two-stage (cluster) sampling, simple random sampling is applied within each cluster to select a subsample of elements in each cluster. It is easier to create biased data within cluster sampling. Multistage cluster sampling: Multistage cluster sampling is a complex type of cluster sampling. • Cluster sampling: a probability sample in which each sampling unit is a collection, or cluster, of elements! It allows a population to be sampled at a set interval called the sampling interval. Cluster sampling is one of the efficient methods of random sampling in which the population is first divided into clusters, and then a sample is selected from the clusters randomly. The researcher divides the population into groups at various stages for better data collection, management, and interpretation. There are distinct advantages and disadvantages of using systematic sampling as a statistical sampling method when conducting research of a survey population. Estimators for systematic sampling and simple random sampling are identical; only the method of sample selected differs. Easy and convenient. We have already discussed about the advantages and disadvantages of sampling in general. Non-Probability Sampling . • Estimators! This is a major disadvantage as far as cluster sampling is concerned. In Cluster sampling, when unequal size of some of the subsets is selected, an element of sample bias will arise. What is Cluster Sampling?! One of the advantages of using the cluster sampling is economical in reducing cost by concentrating on the selected clusters it gives less precision than the simple random sampling. Cluster sampling is used to study the behavior of units within a group rather than individuals, and is less accurate than individual-based types of probability sampling. Random sampling removes an unconscious bias while creating data that can be analyzed to benefit the general demographic or population group being studied. Multi-stage sampling is a type of cluster samping often used to study large populations. – Advantages and disadvantages! This may not be the actual case. In stratified sampling, the population is divided into the mutually exclusive groups th… • Sampling with probability proportional to size! The following are the disadvantages of Cluster sampling: In a cluster sample, each cluster may be composed of units that is like one another. In one-stage (cluster) sampling, all elements in each selected cluster are sampled. 2/1/13! Systematic sampling by definition is systematic. • Design effect! – For some populations, cannot construct explicit sampling frame! Therefore, systematic sampling is used to simplify the process of selecting a sample or to ensure ideal dispersion of sample units throughout the population. In this method, numbers are assigned to every member in the study group of population. 2! Advantages and Disadvantages of Cluster Sampling This sampling technique is cheap, quick and easy. This is the basic method of sampling. List of the Disadvantages of Cluster Sampling 1. – Means and totals! Then the sample would be selected from a table of random numbers or random selection. Advantages: This may produce large sampling error and reduce the representativeness of the sample. – Using the design effect to determine effective sample size! • Cluster sampling: a probability sample in which each sampling unit is a collection, or cluster, of elements! The cluster sampling method must not be confused with stratified sampling. These groups are called clusters. Systematic sampling is one in which the initial unit of sample is selected at random from the initial stratum of the universe and the other units are selected at a certain space interval from the universe arranged in a systematic order like numerical, alphabetical and geographical order.