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Essay / Essay on Sampling in Research - 3005
The key to good research is preparation, preparation, preparation. Therefore, preparation is the key to making good sampling choices. Trochim (2008) defines sampling as taking a sample (a subset) from a population (the entire set). In our everyday lives, we all take samples without realizing it. For example, when one decides to taste an unfamiliar food or drink, this is a form of sampling. Williams (2003 74) postulates that “sampling is a search for typicality). On the other hand, (Clark: 2006 87) defines sampling as “a process of extracting a number of individual cases from a larger population”. According to (Chiromo: 2006: 16), “a sample is a smaller group or subset of the population”. As Chiromo 2006:17 rightly points out, there are two types of sampling techniques, namely probability and non-probability sampling. Probability sampling is the type of sampling that provides each member or unit of the population an equal choice to be included in the sample (Clark 2006:18). In contrast, in non-probability sampling, sample units have an unknown chance of being included in the sample. Quantitative research uses both random and non-random sampling, although it is commonly misconceived that non-random sampling is intended only for qualitative research. This article discusses the different types of sampling techniques used in quantitative research. It begins by examining probability sampling (also called random sampling) before discussing non-probability sampling (non-random sampling). The discussion ends by reviewing the considerations that should be taken into account before selecting a sampling technique before concluding. Because quantitative researchers prefer probability sampling and only use non-probability on rare occasions, middle of paper ...... legal regulations. Sampling is the act of choosing a smaller, more manageable subset of objects. or members of a population to include in research to more easily study something about this population. In other words, sampling allows researchers to select a subset of objects or members of a population to represent the total population. Sampling is used in linguistic research when the objects or members (hereafter simply objects or members, but not both) of a population are so numerous that it would be difficult to study them all. Quantitative researchers use both probability and non-probability samples, but rely more on probability because of its generalizability. When choosing sampling methods, consideration should be given to the research objective, available resources, population, and legal and ethical requirements...