Cluster sampling is a scheme which is used when sampling from the whole population would be too expensive - in terms of time or money. The sample space is divided into clusters, a random sample of clusters is selected and then every member of the population within the selected clusters is studied.
For example, suppose you wanted to collect information from schools across a country and had calculated that a 5% sample was required. Rather than criss-crossing the country, you could divide the country into units: for example counties. You then select counties (your clusters) so that they cover 5% of the nation's schools. Visit each chosen county and sample all schools in it. The selection of counties would probably also need to be controlled so that urban and rural areas are properly represented.
What is the difference between quota sampling and cluster sampling
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Answer is Quota sampling. Its one of the method of non-probability sampling.
Advantages of cluster sampling include that it's inexpensive, fast, and simple. A disadvantage is that it is known to have a high sampling error.
They are an example of cluster sampling and are used because it is impractical to station interviewers at every polling place.
What is the difference between quota sampling and cluster sampling
the combinitoin of any random samples is called multistage samplinag. it is the expensive form of cluster samling. when each elements in cluster are expensive then we use multistage sampling.
It can be but it is not simple random sampling.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Cluster sampling is sampling technique that is used when natural groups are evident. In one-stage cluster sampling (Elementary Statistics, p. 24, by Triola), all members of these selected clusters are surveyed. Rigorous rules to define members of the cluster are needed. A member can not belong to two clusters. Surveys of people conducted in geographical different areas of the country would be an example of cluster sampling. Because different definitions/ explanations exist, I've included three links for further reading. See the following links: http://stattrek.com/Lesson6/CLS.aspx?Tutorial=Stat http://en.wikipedia.org/wiki/Cluster_sampling http://www.answers.com/topic/cluster-sampling
What I believe you are referring to is cluster sampling or cluster. In cluster sampling, the population is divided into clusters and all population members in the cluster are sampled.
Cluster sampling is sampling technique that is used when natural groups are evident. In one-stage cluster sampling (Elementary Statistics, p. 24, by Triola), all members of these selected clusters are surveyed. Rigorous rules to define members of the cluster are needed. A member can not belong to two clusters. Surveys of people conducted in geographical different areas of the country would be an example of cluster sampling. Because different definitions/ explanations exist, I've included three links for further reading. See the following links: http://stattrek.com/Lesson6/CLS.aspx?Tutorial=Stat http://en.wikipedia.org/wiki/Cluster_sampling http://www.answers.com/topic/cluster-sampling
Multistage sampling is a form of cluster sampling where instead of using the entire cluster, random samples from each cluster are used. This is typically used when doing opinion polls or surveys.
simple random, stratified sampling, cluster sampling
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Answer is Quota sampling. Its one of the method of non-probability sampling.