The sample size in a research study depends on many factors, including what the research needs to accomplish, the size of the population available, and also the research budget. As Taherdoost (2017) advises, large sample sizes reduce sampling error, albeit decreasing. It is possible to determine the ideal sample size for any given study using the most appropriate sampling technique.
The first one is the purposive sampling method, and in this technique, the sampling units are selected in accordance with the purpose. As its name suggests, it can only be sued when a given defined purpose is intended and not just for general use. The second sampling technique is random sampling (Daniel, 2011). Each unit that is included in the sample is given a certain pre-assigned chance of being included in the final sample. One of the benefits of this technique is that it provided a better estimation of the studies' parameters compared to the purposive sampling method.
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The third method is simple random sampling. As Daniel (2011) explains, each unit included involved in the sample has an equal chance of getting into the final population sample. The technique is even preferred if one is using a homogenous population because it gives an unbiased and better estimation of parameters. The next one is the stratified sampling technique. The first step in using this technique is to divide the population into subgroups, known as strata. The subgroups contain individuals with similar characteristics. It allows a researcher to ensure that there is a representation of the subgroups.
In a nutshell, it is possible to define one's ideal or optimal sample size, and this is done by using the most appropriate sampling technique for a given study. When used properly and accurately, there is an increased chance of achieving accuracy in the study.
References
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Daniel, J. (2011). Sampling essentials: Practical guidelines for making sampling choices . Thousand Oaks: SAGE Publications
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Taherdoost, H. (2017). Determining sample size; how to calculate survey sample size. International Journal of Economics and Management Systems , 2 .