In random sampling, each member of the population studied would get an equal chanceto be selected as a subject in the sample. This unique feature of random sampling enables theresearcher to obtain a sample which represents all qualities of the study populationcomprehensively. In addition, random sampling also eliminates researcher bias (Grove, 2007).By increasing the representation of the sample, random sampling also increases thegeneralizability of the study findings. Based on such a good sample, the researcher can alsomake out inferences about the larger population (Middleton, 2010).In actual practice, obtaining a truly random sample is a tough task because of manybarriers. Unavailability of selected respondents, refusal to participate, low response rate, etc aresome of the barriers to obtaining a truly random sample. Obtaining a comprehensive list of allthe individuals of the population studied is also a barrier to truly random sampling (NEDARC,2010). To overcome the barriers to truly random sampling, an opportunistic sample can beselected than a truly random sample. An opportunistic sample would be the one which isobtained by random sampling, but from a pool of individuals of the population who areaccessible (Angrosino, 2010). Thus, by having a good knowledge about the characteristics of thepopulation from which the sample is drawn, the researcher can prevent sampling errors and biasto a great extent (Baneerjee & Chaudhury, 2010).I NEED YOU TO COMMENT FROM THIS POST, NO MORE THAN 150 WORDS NEED AND A RE NEEDED AND A REFERENCE PLEASE
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