Answer:
C. EBP in nursing is waning in emphasis and was never fully implemented.
Explanation:
Evidence-based practice (EBP) is a method used in the areas of medicine and health with the aim of using scientific evidence and data to deliver the best high-quality care to patients.
Although this is a great method that has been proposed for over a decade now, it hasn't been fully implemented by nurses due to different reasons:
- Time: In a research study, scientists determined that nurses, although completely agree with this method, state that <u>they are unable to carry out this method mainly due to lack of time and heavy workload.</u>
- Lack of statistical knowledge: In the same study, nurses stated that they had <u>difficulty understanding statistical data</u> that were required to complete the method of EBP.
- Inability to understand technicisms: They also had a <u>difficult time while trying to understand jargon or medical technicisms </u>as many scientists overuse technical words in research papers, <u>creating a barrier for them to fully implement EBP.</u>
Therefore, <u>EBP in nursing hasn't been rejected but it has never been fully implemented.</u>
Answer:
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Answer:
The correlation is more valuable. It can be used to determine the relative strength of a linear relationship.
Explanation:
When you talk about finding a relationship between two quantitative variables such as calories and sugar, then the best that can be used in expressing this relationship is correlation. Correlational research is very useful because it helps in discovering the strength and directions that exist in a relationship between two variables. Although it does not say much about the cause and effect, it is used as a measure of linear relationship between two variables.
Covariance can mainly show the direction between two variables, but cannot be employed when trying to calculate the strength of the relationship between the variables. Correlation coefficient does a better job in measuring the strength of relationships between two quantitative variables.
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