WEEK SIX EBP DISCUSSION Q & A 100% CORRECT RATED
A+ DOWNLOAD TO SCORE A
Data analysis is key for discovering credible findings from implementing nursing studies.
Discussion and conclusions can be made about the meaning of the findings from the data
analysis.
• Share what you learned about descriptive analysis (statistics), inferential analysis
(statistics), and qualitative analysis of data; include something that you learned that was
interesting to you and your thoughts on why data analysis is necessary for
discovering credible findings for nursing.
• Compare clinical significance and statistical significance; include which one is more
meaningful to you when considering application of findings to nursing practice.
“Statistical analysis of descriptive data is conducted to provide a summary of data in
published research reports. These data serve as the starting point for the reader to begin making
decisions regarding the strength and applicability of the research as evidence for practice in
specific populations. Descriptive data are derived from a data set to represent research
variables for the purpose of summarizing information about the sample and do not involve
generalization to a larger set of data such as the population” (Houser, J., 2018).
Descriptive analysis uses numbers and data to measure for each variable involved which data
can be obtained in multiple ways. It is used mostly with the intention of being informational.
As nurses we use this on a day to day basis, such as when we monitor a day’s worth of vitals to
obtain a trend, or to monitor a troponin level to see the peak and when it begins to trend down,
as well as information regarding infectious processes and signs and symptoms and length of
stays for patients. On the fall prevention team that I am on we use this style of data analysis to
monitor how many falls occurred in a month in order to figure out the need for each floor and
unit which starts the process for new interventions or education to be put into place.
A+ DOWNLOAD TO SCORE A
Data analysis is key for discovering credible findings from implementing nursing studies.
Discussion and conclusions can be made about the meaning of the findings from the data
analysis.
• Share what you learned about descriptive analysis (statistics), inferential analysis
(statistics), and qualitative analysis of data; include something that you learned that was
interesting to you and your thoughts on why data analysis is necessary for
discovering credible findings for nursing.
• Compare clinical significance and statistical significance; include which one is more
meaningful to you when considering application of findings to nursing practice.
“Statistical analysis of descriptive data is conducted to provide a summary of data in
published research reports. These data serve as the starting point for the reader to begin making
decisions regarding the strength and applicability of the research as evidence for practice in
specific populations. Descriptive data are derived from a data set to represent research
variables for the purpose of summarizing information about the sample and do not involve
generalization to a larger set of data such as the population” (Houser, J., 2018).
Descriptive analysis uses numbers and data to measure for each variable involved which data
can be obtained in multiple ways. It is used mostly with the intention of being informational.
As nurses we use this on a day to day basis, such as when we monitor a day’s worth of vitals to
obtain a trend, or to monitor a troponin level to see the peak and when it begins to trend down,
as well as information regarding infectious processes and signs and symptoms and length of
stays for patients. On the fall prevention team that I am on we use this style of data analysis to
monitor how many falls occurred in a month in order to figure out the need for each floor and
unit which starts the process for new interventions or education to be put into place.
