DESCRIBE SAMPLING THEORY AND PROVIDE AN EXAMPLE TO ILLUSTRATE YOUR DEFINITION NRS 433
Topic 3 DQ 2
Describe sampling theory and provide examples to illustrate your definition. Discuss generalizability as it applies to nursing research.
A sampling theory is a set of data collected from the population of interest or target population. The samples are information that are accessible in units, such as people, events, or other subjects of interest. The purpose of the sampling is to target a larger population on characteristics relevant to the research questions. Example of sampling theory will be a study conducted by researcher collecting information from 600 people in a population of 6,000 people. There are two main type of sampling methods, probability sampling involves random selection, each person in the group or community has an equal chance of being chosen. Then there is non-probability sampling does not involve random selection and so cannot rely on probability theory to ensure that it is representative of the population of interest. (nim.nih.gov)
Generalizability as it applies to nursing research is evidence-based practice. This helps the nurses to make critical decisions when caring for patients. Example: in critical care nursing research involves assessment and intervention related to perioperative heart transplant population. (Kamper, 2020) Implementing treatments such as therapy, medications, will provide a better outcome for the patient and reduce the length of stay in the hospital.
Kamper, S. J. (2020). Generalizability: Linking evidence to practice. Journal of Orthopaedic & Sports Physical Therapy, 50(1), 45–46. https://doi.org/10.2519/jospt.2020.0701
National Institutes of Health. (n.d.). Sampling. U.S. National Library of Medicine. Retrieved August 12, 2022, from https://www.nlm.nih.gov/nichsr/stats_tutorial/section2/mod1_sampling.html
replied toKrishna Turner
Aug 13, 2022, 5:21 AM
· Replies to Krishna Turner
Generalizability is a very important concept in research, nursing research most especially because wrong generalizations of results across illnesses may result in life-threatening mistakes and/or permanent damages to health. In medical research, there is a lot more to consider as the situations are almost always very subjective and cases may differ drastically even if the patients are suffering from the same illness. For example, a patient’s allergies or even previous treatment may negate the general use of a good research result even though it may apply to the majority of patients who are suffering the same conditions as in the research result (Yarkoni, 2022).
Yarkoni, T. (2022). The generalizability crisis. Behavioral and Brain Sciences, 45.
· Sheranda Fesler
replied toKrishna Turner
Aug 13, 2022, 6:05 AM
Replies to Krishna Turner
Thanks for your posting. In the example you provided on generalizability, how would those findings be spread to the larger population?
· Krishna Turner
replied toSheranda Fesler
Aug 14, 2022, 11:42 PM
Replies to Sheranda Fesler
Hi Dr. Fesler,
Generalizability ensure that the survey respondents include relevant groups from the larger population in the correct proportions by age, race, and gender. For instance, Covid 19 was/is a epidemic that affected a large population. In the United States it affected mainly those in Urban areas, non- hispanic black, asian, and hispanic, but a smaller percentage of non-hispanic white.(2022) Age of the individuals varied meaning from younger individuals to older individuals. The survey or study for groups tend focus on race, age, or gender pending on the focal point of the subject at hand.
Centers for Disease Control and Prevention. (2022, August 10). Covid-19 provisional counts – health disparities. Centers for Disease Control and Prevention. Retrieved August 15, 2022, from https://www.cdc.gov/nchs/nvss/vsrr/covid19/health_disparities.htm#:~:text=Adjustments%20to%20the%20population%20distributions,that%20are%20non%2DHispanic%20white. Generalizability. Institute for Work & Health. (2006, August). Retrieved August 15, 2022, from https://www.iwh.on.ca/what-researchers-mean-by/generalizability