[SOLVED] Why should multiple sampling methodologies be considered for health care research?. PART 1
Write a 175- to 265-word response to the following questions:
- Why should multiple sampling methodologies be considered for health care research? Explain.
- What are the risks of sampling errors?
Respond to classmates reponses to the same question below:
Different sampling methodologies should be considered for health care research in order to define the objectives of the research being conducted. Some samplings will have errors and miscalculations of the survey results. The type of sampling method that will need to be used will depend on what research is being conducted. Elfil (2017), “Clinical research usually involves patients with a certain disease or a condition. The generalizability of clinical research findings is based on multiple factors related to the internal and external validity of the research methods. The main methodological issue that influences the generalizability of clinical research findings is the sampling method” (abstract). There are two different types of sampling errors which are called non-sampling errors and sampling errors. Some of these errors are Population specification error (non-sampling error), Sample frame error (non-sampling error), Selection Error (non-sampling error), Non-Response ( non-sampling error). Some of the sampling errors can be that the research data and finding are never 100% correct and could very well end up with miscalculations. It all depends on what research is being done on which sampling method is the correct one to use.
In my best professional opinion I would state that multiple sampling methodologies for health care research purposes provides a growing path and ongoing opportunities encompassing the quality care being provided, ample opportunities for the personnel, which aides the organization (s) in which they’re employed with within its reputation and growth.
There’s clinical trials or even other regulatory programs. The goal is to not just serve one but many. During each process the team is determining what is the most useful approach. They must also determine the health care audience, the specificity guidelines they would need, and certainly what questions are they trying to solve for improvement factors. So I feel that caution is a must because each mission serves its own unique purpose and there will be errors presenting themselves regardless of the method (s) taken.
Sample bias occurs, sample frame errors arise, and most commonly systemic errors. The goal when such errors arise is to make the corrections necessary so there are fail safe plans or alternatives available in order to acquire the most accurate data possible. This is what sustains the integrity of what will be and hold the safety of those of high importance.