Simple random sampling: This type of sample includes subjects that are randomized so that there is an equal chance of being selected. This type of sampling is time consuming when there is a large sample.
Stratified random sampling: This type of sampling includes subjects or elements that are divided into groups or strata based on characteristics which the study has defined such as age groups. This can also be time consuming when it is a large group. An advantage is that the sampling size is more generalizable.
Cluster sampling: This type of sampling includes clustering from a large group to a smaller group to choose subjects. The disadvantage of this type of sampling is that it is more likely not a representative of the general population. The advantage is that it is less time consuming compared to other types of sampling.
Systemic random sampling: This type of sampling involves choosing subjects or elements by selecting a random start from a list. What ever the number is chosen then that will be the starting point of which the researcher will begin from the kth number. This type of sampling is easier and faster to conduct. A disadvantage is that it the generalization of the population is most likely not represented.
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