Discussion reply: Quota Sampling; Purposive Sampling; Snowball Sampling

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As established in qualitative studies, a small size remains significant in avoiding the element of saturation. In as much as saturation establishes a majority of a study's qualitative sample size, there are other factors that determine how slow or quick these elements may be achieved in a qualitative study (Francis, et.al. 2012). Data saturation is therefore used as an approach aimed at evidencing the quality of a qualitative research, an aspect that would lead researchers to justify what a study means without arriving at a conclusion. This concept essentially needs to be applied within the precincts of a grounded theory that may be characterized by the selection of particular factors that play a significant role in qualitative studies. These factors include:
Quota Sampling:
This element determines the number of participants that are required for a study, an aspect that takes consideration of a sample size and appropriate proportions of subsamples in the design of a qualitative study (Francis, et.al. 2012). Researchers are in a position to recruit participants in accordance with ...