Sampling Theory and Generalizability

Sampling Theory and Generalizability
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Sampling Theory and Generalizability
Sampling theory is a framework centered on creating a population’s subset whereby all cases within the subset depict an equal chance of being chosen from the populace. A sample generated within this approach accurately describes the variation range within the population. All probabilistic sampling models are tailored to attain this fundamental objective. Various sampling methodologies have been created to ensure appropriate approaches are applied to multiple sampling settings (Peregrine, 2018). The researcher should design the problem, inclusion criteria, and intervention. For example, consider a population selection example where the problem is hospital-associated pressure ulcers. The inclusion criteria are older adults aged 65 to 90 years, and the intervention is skin protectant dressing. In this example, the nurse investigator has the chance to attempt out a novel kind of skin protectant dressing. The dressing could be employed on the section of the populace or the entire population. The researcher would not select young adults with excellent mobility and good skin turgor since they are not beneficial to t...