Are there other random and non random sampling strategies?
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YES! MORE RANDOM SAMPLING STRATEGIES
Systematic sampling is an often-used sampling strategy and cost effective. Again, you must have a population sampling frame list that is in random order and non-overlapping. Determine both the size of the population and the size of the sample you want to work with. Then, divide the sample size (n) into the population (N) size to get your key number, symbolized as “k”. That is your systematic sample.
Cluster sampling is exactly what its title implies. You randomly select clusters or groups in a population instead of individuals. That is your cluster sample.
Quota sampling is used if a stratum is small in the population but important to the research questions being presented. So we may over sample, or establish a quota, so that we get the subjects needed to address our research. That is your quota sample.
Stratified sampling is used when the population is heterogeneous and it is important to represent the different strata or sub-populations. There is a proportional representation of strata in the sample - proportional to the population strata. We divide the entire population into strata (groups) to obtain groups of people that are more or less equal in some respect. Then, select a random sample from each stratum. That is your stratified sample.
NON RANDOM SAMPLING STRATEGIES
There are three nonrandom sampling strategies that graduate students should consider using, especially if you have descriptive or non-experimental designs. These sampling strategies are Convenience, Purposive and Snowball sampling. Many times, random sampling strategies are impossible to undertake at the graduate level. These three strategies are options to consider.
Convenience samples, exactly what the name suggests, are oftentimes what we have to use because of reality. We cannot draw a sample, but we have a group that is accessible, is representative of our target population and just available to us. Instead of becoming purists and throwing out the chance for collecting data for decisions, use what you have with the honest acknowledgement that there are limitations. That is your convenience sample.
Purposive Sampling, another nonrandom sampling technique, is used when the researcher seeks out subjects with specific characteristics to participate in the research study. This might be done if your study involved parents of daycare children. You might seek permission from daycare centers to ask their parents to participate in the research.
Snowball sampling, another nonrandom sampling technique, asks each research participant who volunteers for your study to identify one or more others who might be willing to participate. This might be used if you were studying African American female executives. The sample’s network might produce more volunteers to add to your sample. There might be just a few whom you identify initially but over the course of the research, those few might help to identify like members of hard-to-find populations.
