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Analyzing And Understanding The Techniques Used In Sampling Essay

¶ … employing convenience samplings is some bias in non-representative population. Due to this limitation, convenience sampling is not usually subject to tight sample measures (Bailey, 2009). Convenience samples don't give the representative outcome. If a person needs to extend the targeted population, convenient samples cannot acquire the research there. The normal instinct is to extract from the convenience samples. When using convenience samples, there is the likelihood to handle the results as representational, though they may not be. The outcome of convenience samples is difficult to clone. If a researcher conducts the analysis of a convenience survey outcome by means of a list source, they would often observe dramatic variations in the feedback from the various lists, usually in a manner that would complicate the explanation (Convenience Samples: Pros and Cons, 2010). Although convenience samples are way better than having no samples entirely, the limitations of the convenience samples must be observed and recognised when a researcher is interpreting the findings of a study. In a small or seemingly inadequate sample, the ills of generalization have severe impact on the population that is being studied (Grinnell & Unaru, 2007). A convenience sample usually suffers from numerous biases. Given...

The sample may not be an accurate representation of the population in study, because the frame of the sampling is unknown, and this sample was not randomly chosen. This, as a result, lowers a researcher's capability to come up with generalizations from the population sample being studied (Mugera, 2013).
Due to the high chances of self-selection in a non-probability instance of sampling, the consequences of outliers may be more frustrating in this subject selection type. Cases which are not considered as part of the data are outliers. On the contrary, biases and their chances are not quantified in a convenience sample. Actually, a researcher is not aware of how accurate a convenience sample will be at representing a population concerning the mechanisms or traits being researched. Convenience samples are very unpredictable because they are vulnerable to severe concealed biases (Etikan, Musa and Alkassim, 2016).

A sample is a representation of events, items or people from a much bigger population from which a researcher, gathers and observes, to draw conclusions (What is the dissimilarity between a sample and a population? n.d). In a population of 500, the study sample…

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References

Bailey, T.L., (2009). Organizational culture, macro and micro empowerment dimensions, and job satisfaction: an application of concurrent mixed and multi-level methods in the federal sector. Universal-Publishers.

Convenience Samples: Pros and Cons. (2010). Retrieved June 14, 2016, from http://blog.verint.com/convenience-samples-pros-and-cons

Etikan, I., Musa, S.A. and Alkassim, R.S., (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), pp.1-4.

Grinnell, R. M., & Unrau, Y. A. (2007). Social work research and evaluation: Foundations in evidence-based practice. New York: Oxford University Press.
Mugera, W. (2013). NON-PROBABILITY SAMPLING TECHNIQUES. Retrieved June 14, 2016, from https://learning.uonbi.ac.ke/courses/LDP603/work/assig_2/Non-probability_sampling_techniques_assignment_1.pdf
Population Sampling Techniques. (n.d.). Retrieved June 14, 2016, from https://explorable.com/research-population
Selecting Sample Sizes. (n.d.). Retrieved June 14, 2016, from http://www.itl.nist.gov/div898/handbook/ppc/section3/ppc333.htm
Trochim, W. (2006). Descriptive Statistics. Retrieved June 14, 2016, from http://www.socialresearchmethods.net/kb/statdesc.php
What is the difference between a population and a sample? (n.d.). Retrieved June 14, 2016, from http://support.minitab.com/en-us/minitab/17/topic-library/basic-statistics-and-graphs/introductory-concepts/basic-concepts/sample-and-population/
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