Description
Application: Sampling Components
In previous weeks of the course, you explored the importance of conceptualizing and defining variables. Those tasks set the guidelines for research and have many important consequences for the results. In sampling methods research as well, guidelines must be set. Researchers must conceptualize and define important components of probability sampling.
For this Application Assignment, you define and explain the role of all of those terms within the context of probability sampling. You also explain potential advantages of probability sampling over nonprobability sampling.
The assignment (2–3 pages):
- Explain the definition and role of each of the following components of probability sampling: element, population, study population, random selection, sampling unit, statistic, and parameter.
- Finally, explain advantages of probability sampling over nonprobability sampling.
Support your Application Assignment with specific references to all resources used in its preparation. You are to provide a reference list for all resources, including those in the Learning Resources for this course.
Explanation & Answer
Attached.
Application of Sampling Components
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Institution
APPLICATION OF SAMPLING COMPONENTS
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Element: An element in probability sampling is the unit of the population that a researcher has to
identify in order to include in a specific sample. The purpose of doing this is so that a researcher
can be able to come up with a sample that truly represents the entire population. The element is
selected in a random sense, meaning that all elements have an equal chance of being selected.
The randomness used in this process will allow the researcher to also come up with a sampling
error, which will represent the deviation of the sample result from the population parameter
(Marshall, 1996).
Population: A population is defined as the general large collection...
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