ABSTRACT
This chapter presents several nonprobability sampling methods. The first nonprobability method is called purposive sampling. When researchers use this method, they use their knowledge of the population to select individuals who they believe will be good sources of information. In quantitative research, the goal is to create a sample that is representative of a larger population so that the statistical analysis of the numerical data will show relevant patterns and trends that support or refute hypotheses. In qualitative research, the method of analysis is not reliant on numerical data but is often based on direct experience through observation or extended interviews. Qualitative data and analysis often use the words of the participants and may be more intent on understanding the perspective of those directly involved in the issue, as well as how perspectives vary. Several strategies for purposive sampling can help guide the researcher in selecting participants, and reduce the chance that bias taints the selection.
