Probability and Non Probability Probability and Non Probability As d, probability sampling is quite useful as it provides a strategy whereby the research can focus on a given population and then pick randomly to find participants. It effectively eliminates the possibility that the researcher is biased in who or she picks to participate in a study and enables for a simplistic way to determine who should be asked. Scientifically, the larger the sample size, the more likelihood that a good representative of different viewpoints regarding the topic under examination.
This is one of the drawbacks, however, if the population is quite small, as the statistical probability of have a sample size that is not truly representative of the overall population would be much higher. Probability sampling would certainly be the sampling method of choice for the final project titled: The Impact of Group Support on Stress in the Workplace. This choice of method is justified because it will enable the research to obtain a healthy cross section of different employees throughout the organization whose population forms the foundation for the study.
This will lead to reliable and valid data because bias will have been eliminated as much as possible, and the eventual sample size that is chosen will be more reflective of the type of employees working in that particular type of industry or occupation (Groves, Presser, & Dipko, 2004). ReferencesGroves, R. M., Presser, S., and Dipko, S. (2004). The role of topic interest in survey participation decisions. Public Opinion Quarterly, 68(1), 231.