Please write 5-6 sentence response to each topic question. Please provide one reference per topic. Department is Emergency Room.

Topic 1:

Describe quantitative research designs that are used to support changes in nursing practice. Choose one and explain why you chose it. Give an example of how this research design is used to drive change in nursing practices.

We will write
a custom nursing essay or paper
specifically for you
Get your first paper with
15% OFF

Topic 2:

What is the difference between statistical significance and clinical significance? Explain why statistically significant results in a study do not always mean that the study is clinically significant. Provide an example.





Topic 1

Quantitative Research Design

Research is either quantitative or qualitative, depending on the investigator’s type of questions in their studies. Quantitative research design uses numbers and accuracy in its work to determine results (Rutberg & Bouikidis, 2018). Nursing research employs a quantitative research design to find evidence-based results that can help solve nursing problems, especially in finding solutions to an epidemic outbreak (Rutberg & Bouikidis, 2018). This study will focus on a quantitative research design that focuses on change in nursing practice and the difference between statistical and clinical significance.

Quantitative design ranges from clinical and medication testing to patient and nurse satisfaction (Rutberg & Bouikidis, 2018). The main quantitative research design that I will focus on is experimental. I have chosen this type of quantitative design because it helps group the participants in either control or experimental groups depending on the randomization process. For instance, if participants are being tested on the intensity of smoke in their lungs, the randomization process will help determine whether they can be grouped into controlled or experimental groups to assess findings.

Topic 2

Difference between Statistical and Clinical Significance

Statistical significance measures the probability of a null hypothesis being true in the context of the answer. It, therefore, determine if the mathematical results are accurate (Tenny & Abdelgawad, 2017). While clinical significance determines if the mathematical results can benefit the patients (Tenny & Abdelgawad, 2017). Based on this difference, it is clear that statistically significant results do not usually mean that the study is clinically significant because the clinical aspect determines the patient’s quality of care. Therefore, if the result is not up to the patient’s conditional standard, the results most likely cannot qualify to be clinically significant. For instance, if the results show a higher dosage of a patient’s prescription, that can be dangerous to the patient’s care and outcomes.


Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research. Nephrology Nursing Journal, 45(2), 209-213.

Tenny, S., & Abdelgawad, I. (2017). Statistical significance.