In today’s data-driven world, researchers have come to rely heavily on the accuracy of collected data. Often, these data sets are obtained through a process known as sampling. Sampling is the collection of a subset of data from a larger population that is representative of the larger population. This process is important to ensure that researchers are collecting accurate information about the population in question. However, it is not always possible to acquire a random sample, and in these cases, unselected sampling can be used.
Unselected sampling, also known as convenience or purposive sampling, is a type of non-random sampling method in which the researcher purposefully selects a sample of individuals out of a population. This method may be used when it is impossible or too costly to acquire a random sample. It is important to note that unselected samples are often biased, meaning that they are more likely to contain samples of individuals that are more similar than those that would be included in a more random selection. As such, they are not as reliable as random samples.
Despite the potential for bias, unselected samples can still be useful when used appropriately. When deciding whether to use this method, researchers should consider the purpose of the data collection and whether unselected sampling is the best option for the given situation. For example, unselected samples may be used in qualitative studies, such as interviews or surveys, where the researcher is looking for specific information. Additionally, unselected samples can be used to study certain phenomena for which random sampling may not be feasible, such as in cases of rare or specific behaviors.
Unselected samples can also be used in combination with other sampling methods. Combining unselected sampling with other methods, such as random sampling, allows researchers to collect data from a wider range of individuals while still obtaining a representative sample. This can provide a more robust data set for the study in question.
Overall, unselected sampling is an important tool for researchers in certain situations. While it has the potential for bias, it can still be useful when used appropriately and in combination with other sampling methods.
References
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Hesse-Biber, S. N., Leavy, P., Quinn, C. E., & Zoino, J. (2006). The Practice of Qualitative Research. Sage Publications.
Kumar, R. (2018). Research Methodology: A Step-by-Step Guide for Beginners. SAGE Publications India.
Magilvy, J. K. (2020). Sampling Methods: Definition, Types, Advantages & Disadvantages. Retrieved from https://www.simplypsychology.org/sampling-methods.html
McMillan, J. H., & Schumacher, S. (2017). Research in education: Evidence-based inquiry (7th ed.). Boston, MA: Pearson.