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HOMELESS POPULATION RESEARCH
Homeless Population Research: Homeless Personnel in Virginia
There are a number of challenges that one could encounter in the course of sampling homeless personnel in Virginia. The two challenges that will be addressed on this front relate to; i) selection of a representative sample and ii) obtaining an ideal sample size.
Selection of a Representative Sample Size
From the onset, it would be prudent to note that as Creswell (2014) points out, an ideal sample ought to be representative of the whole study population. It therefore follows that in the absence of a representative sample, data validity and reliability could be impacted negatively. In seeking to reign in this particular challenge, I would make use of the most ideal sampling method for the research study in question. Given that the present study seeks to focus on homeless personnel in Virginia, the most ideal sampling method would be simple random sampling which happens to be a probability sampling method. In the words of Creswell (2014), in this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected (78).
Optimal Sample Size
The other challenge that could be encountered in this case relates to the optimal sample size. According to Faber and Fonseca (2014), the relevance of an optimal sample size cannot be overstated. This, according to the authors, is more so the case given that the external and internal validity of a study could be undermined by a very small sample size. On the other hand, the authors are categorical that very large samples tend to transform small differences into statistically significant differences (Faber and Fonseca, 2014, p. 28). There are various approaches that could be deployed in the determination of an ideal sample size. In the present study, I would ensure that the computation method selected is in line with the sampling design as well as the indicator.
References
Creswell, J.W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE.
Faber, J. & Fonseca, L.M. (2014). How sample size influences research outcomes. Dental Press J Orthod., 19(4), 27-29.
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