Once you have selected the population, you will next need to think about the number of representatives of this population that you actually want to include in your study. This process is called sampling. Sampling strategies provide a convenient and efficient way to generalize
about an entire population based on questioning, interviewing, polling, or surveying only a sample from that population. Ensuring for a random sampling of the population is essential if one is to make generalizations or inferences about the population.

A sample is random if it is selected so that: (1) each member of the population is equally likely to be chosen and (2) the members of the sample are chosen independently of one another. It is important to note that obtaining a randomly chosen sample depends on the way in which the sample is drawn, not on the specific members of the population that happen to end up in the sample.

There exists several techniques for sampling a particular population including cluster sampling, stratified random sampling, systematic sampling, and simple random sampling.

*It is recommended that you select a sampling technique that works out best for you. Use the Sampling Table to determine the number of participants to include in your study based on the Population size.*