Probability sampling:
Simple random sampling – It is reliable method of obtaining information where every single member of a population is chosen randomly, merely by chance. Each individual has the same probability of being chosen to be a part of a sample.
Cluster sampling – Cluster sampling is a method where the researchers divide the entire population into section or clusters that represent a population.
Systematic sampling – Researchers use the systematic sampling method to choose the sample members of a population at regular intervals.
Stratified random sampling – Stratified random sampling is a method in which the researcher divide the population into smaller groups that don’t overlap but represent the entire population.
Non-probability sampling:
Convenience sampling – This method is dependent on the ease of access to subjects such as surveying customers at a mall or passers-by on a busy street.
purposive sampling – formed by the discretion of the researcher. researchers purely consider the purpose of the study, along with the understanding of the target.
Snowball sampling – sampling method that researchers apply when the subjects are difficult to trace. For example, it will be extremely challenging to survey shelter less people or illegal immigrants.
Quota sampling – In Quota sampling, the selection of members in this sampling technique happens based on a pre-set standard. In this case, as a sample is formed based on specific attributes, the created sample will have the same qualities found in the total population. It is a rapid method of collecting samples.
