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NR 505 Week 5 and Week 6 Discussion Question and Answers | Highly RATED Paper | Download To Score An A

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Respond to the following prompts: How has learning about the history of research ethics impacted your view of biomedical research? In looking at the studies you reviewed for your PICOT question, d o you feel that today’s researchers adequately protect the rights of human subjects? If not, what ad...

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NR 505 Week 5 and Week 6 Discussion Question and Answers




NR 505 Week 5 TD - Data Collection

Data collection is at the center of research because the facts gathered will

contribute new information as well as answer the research question. For this

discussion, please respond to each of the following topics.

• Refine your PICOT question.
• Explain your specific research approach (qualitative or quantitative or

mixed methods) and how it has the potential to answer your research

question.
• Discuss you data collection method, addressing strengths and

identifying one potential weakness.
• Identify the actions you are proposing that will help ensure that quality

data may be produced by your EBP project.




Dr. Pat and Classmates:

, Researchers are frequently charged with the task of undertaking research that is both

credible and has wider reaching applicability to the larger population. The time and expense

involved in research can make it challenging for researchers to study entire populations and, as a

result, sampling techniques are used to assist in the selection of a representative sample

(Kandola, Banner, O’Keefe-McCarthy, & Jassal, 2014). The process of selecting a sample can

be complex and the researcher must have sound knowledge of the population characteristics and

sampling methods in order to ensure that a valid and robust sample is selected. If the researcher

fails to achieve this, the research may not capture a correct target population and, as a result, the

study may have limited applicability and usefulness at the level of practice (Kandola et al.,

2014).

There are two main sampling approaches: probability and non-probability sampling.

However, probability sampling is the only dependable way of finding representative samples in

quantitative studies (Polit & Beck, 2008). Probability sampling can be defined as the random

selection of elements from the population, where each element of the population has an equal

and independent chance of being included in the sample. The four main types of probability

sampling includes simple random sampling, systematic sampling, stratified

sampling, and cluster sampling. In contrast, non-probability sampling methods are

those in which elements are chosen through non-random methods for inclusion into

a research study, it very rarely represents the target population, but it is convenient

and cost-effective. They include convenience sampling, purposive sampling,

snowball sampling and quota sampling (Kondola et al., 2014).

Use of probability sampling techniques for the Ironridge community would decrease the

likelihood of selection bias and minimize the potential for skewed results. While there are five

main types of probability sampling, the ones that I would select for my research would be simple

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