Sampling theory refers to a type of data collection that relates to qualitative data. This method is used to gain information about the subject that is being researched. The point of this is to gain valuable information to prove their point and to solidify the purpose even more. Sampling is essentially picking some people to participate in the research instead of having a large community participate (Falkner et al., 2022). This can be useful for this research. It can be very hard to research large populations are communities at the same time. There are different types of sampling where the researcher will pick the participants, the participants can volunteer, or the participants can recommend other participants. Since we can basically research anything, an example of sampling could research the number of hours worked on average between all the nurses at the hospital. If it is a large hospital, it would probably be easier to pick some of the nurses instead of all the nurses to perform this study. Generalizability is also important while performing research. This is where research can be applied to the larger population. Based on how sampling was performed, that same method could potentially be used for generalization. This is important because in nursing, there is not one size that fits all. Since nursing is for the entire population, the population cared for is extremely diverse.
References
Falkner, A., Green, S. Z., Helbig, J., Johnson, J., McNiff, P., Petrick, M., & Schmidt, M. (2022). Nursing research: Understanding methods for best practice. Grand Canyon University (Ed.). https://bibliu.com/app/#/view/books/1000000000588/epub/Chapter2.html#page_68
Quality Work
Unlimited Revisions
Affordable Pricing
24/7 Support
Fast Delivery