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Discuss the differences between non -probability sampling and probability sampling.
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Give an example of each.
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So starting over here with our non -probability sampling.
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Non -probability sampling refers to a sampling technique where the selection of participants is not based on randomization.
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In this approach, the researcher does not have control on the selection process and cannot ensure that every individual in the population has an equal chance of being selected.
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Non -probability sampling is commonly used when it's difficult to create a sampling frame or when research question is exploratory.
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Examples of non -probability sampling methods can include convenient sampling, purpose sampling, or snowball sampling.
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An example of this is suppose a researcher wants to study opinions of university students about a new educational policy.
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Instead of randomly selecting students from the population, the researcher decides to utilize a convenience sampling by choosing students who are easily accessible, such as those in a particular department or who are at a specific location at a given time...